A new 4G router implementation method based on Internet of Things security
Patent Information
- Application Number
- CN202611294683.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-08-25
- Publication Date
- 2026-10-27
AI Technical Summary
现有的“4G通信模组+专用路由芯片”双芯片架构,虽然利用路由芯片实现了网络地址转换(NAT)与防火墙等复杂功能,但需要额外采购专用路由系统级芯片及配套存储器件
(1)本发明通过提取通信模组硬件指纹与注册模板构建网格矩阵,执行逆向路径追踪与纠错重构得到重构硬件标识符。利用位统计特征计算动态混淆向量派生根密钥种子,结合汉明重量分段移位与系统启动时间戳拼接进行非线性代数置换,输出身份认证令牌。基于身份认证令牌构建信任环境并配置内存保护单元访问控制位掩码,将轻量级网络协议栈加载至安全内存分区。采集蜂窝网络射频信号强度样本序列计算信道干扰水平与历史干扰基值的偏差量,执行概率映射函数计算链路可用概率,基于链路可用概率驱动网络注册。该流程利用硬件物理特征生成了高熵值的身份认证令牌,建立了从底层硬件到上层协议的完整信任链,并结合信道质量感知机制,实现了设备接入的高强度安全认证与网络连接的智能化自适应管理。
Smart Images

Figure CN122994755A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of network communication technology, and in particular to a novel 4G router implementation method based on Internet of Things (IoT) security. Background Technology
[0002] With the large-scale deployment of IoT industrial terminal equipment, traditional 4G router architectures face severe engineering challenges in terms of hardware cost control and low-power design. The existing dual-chip architecture of "4G communication module + dedicated routing chip," while utilizing the routing chip to implement complex functions such as Network Address Translation (NAT) and firewalls, requires the additional purchase of a dedicated routing system-on-a-chip and supporting storage devices. This design approach based on dual-chip collaboration ignores the core requirements of IoT edge scenarios for a simplified hardware architecture and low-power operation, resulting in a significant increase in the overall bill of materials cost and persistently high average power consumption. Furthermore, simplified solutions based on the lightweight protocol stack built into the 4G module are often limited by module resources and interface types, making it difficult to fully implement dynamic host configuration protocol services and web remote management functions without adding an additional microcontroller unit. This limits the router's adaptability and ease of use in industrial field network supply scenarios.
[0003] Therefore, how to provide a new 4G router implementation method based on IoT security is a problem that urgently needs to be solved by those skilled in the art. Summary of the Invention
[0004] This invention proposes a novel 4G router implementation method based on IoT security. It initializes the mapping relationship between the serial communication link and physical layer devices, and loads a device access control list (DLC) using hardware address identifiers. A grid matrix is constructed by extracting the hardware fingerprint of the communication module and the registration template. Reverse path tracing and error correction reconstruction are performed to obtain a reconstructed hardware identifier. A dynamic confusion vector derivation root key seed is calculated using bit statistics features. Nonlinear algebraic permutation is performed by combining Hamming weight segmentation shift and system startup timestamp concatenation to output an authentication token. A trust environment is built based on the authentication token, and network registration is driven by channel interference levels. Multi-buffered ring queues and direct memory access bus weights are configured. Address mapping entries are generated based on the network-side address. Link-layer filtering strategies are integrated, and data transfer and instruction verification are performed through buffer pointers. Address mapping forwarding or extraction of application-layer encrypted data streams is performed based on instruction type. A secure transmission channel is established based on the network-side address. An instruction function mapping table is loaded to decrypt and standardize the format of the application-layer encrypted data stream. Protocol stack interface handles are called to modify system parameters or trigger remote firmware updates. This invention overcomes the limitations of traditional 4G routers, which rely on independent routing chips, resulting in high cost, high power consumption, and lack of underlying hardware fingerprint security authentication. It realizes an IoT terminal access solution that provides low cost, low power consumption, high security, and complete routing management functions without an independent routing chip architecture.
[0005] A novel 4G router implementation method based on IoT security according to an embodiment of the present invention specifically includes: S1. Initialize the mapping relationship between the serial communication link and the physical layer device, parse the security policy and load the access control rules in combination with the hardware address identifier to generate the device access control list; S2. Extract the hardware fingerprint and registration template of the communication module, construct a grid matrix to perform reverse path tracing and error correction reconstruction, calculate the dynamic confusion vector derived root key seed using bit statistical features, perform segmented shift based on Hamming weight and concatenate it with the system startup timestamp to perform nonlinear algebraic permutation, and output the identity authentication token. S3. Build a trust environment based on identity authentication tokens and adaptively deploy the protocol stack. Use the channel interference level to drive network registration to output network-side addresses and link status. S4. Configure the protocol stack interface handle based on the network side address and link status, construct a ring buffer multi-buffer queue using the protocol stack interface handle, map the physical layer address with bandwidth characteristics and configure the direct memory access bus weight, and output the buffer pointer and protocol stack interface handle. S5. Configure address and port parameters based on network side address and buffer pointer, calculate port hash collision probability to generate address mapping table entries, and combine packet hardware address identifier to traverse device access control list rule set to integrate link layer filtering policy, and output address mapping table entries and link layer filtering policy. S6. Utilize buffer pointers and link layer filtering strategies to perform data transfer and instruction verification. Based on the instruction type, use address mapping entries to perform address mapping forwarding or extract application layer encrypted data streams. S7. Establish a secure transmission channel based on the network-side address, load the instruction function mapping table, receive application layer encrypted data streams for decryption and format standardization conversion; call the protocol stack interface handle to modify system parameters or trigger remote firmware updates.
[0006] Optionally, S1 specifically includes: S11. Based on the system clock source frequency and the target transmission rate of the serial communication interface, calculate the clock division coefficient and bus timing parameters, configure the general input / output pin multiplexing status and interrupt triggering mode using the clock division coefficient and bus timing parameters, and output the serial interface bus configuration parameter set. S12. Use the serial interface bus to configure the parameter set and send a reset instruction sequence to the Ethernet physical layer chip. Read the value of the physical layer identifier register of the Ethernet physical layer chip and perform a compatibility check. If the compatibility check passes, read the value of the media access control address register and output the hardware address identifier. S13. Read the original access control rule data of the local storage area, perform address field parsing and duplicate removal on the original access control rule data based on the hardware address identifier, map the parsed access control rule data to the hardware filter index table in memory, and output the device access control list.
[0007] Optionally, S2 specifically includes: S21. Read the immutable hardware identifier of the communication module and the registration template sequence in the non-volatile memory, combine the immutable hardware identifier and the registration template sequence to generate comparison sequence data, construct a score matrix and a path direction matrix based on the comparison sequence data, and perform reverse path tracing and error correction reconstruction to obtain the reconstructed hardware identifier. S22. Obtain the bit feature distribution value by statistically analyzing the bit frequency distribution of the binary position of the reconstructed hardware identifier. Calculate the random jitter parameter using the bit feature distribution value. Generate a dynamic obfuscation vector based on the random jitter parameter. Perform a bitwise XOR operation on the reconstructed hardware identifier and the dynamic obfuscation vector to output the root key seed. S23. Based on the root key seed, the root key seed is divided into a high-order data segment and a low-order data segment. The Hamming weight of the high-order data segment is calculated as the cyclic shift step size. The cyclic shift step size is used to perform a cyclic left shift operation on the low-order data segment to obtain the shifted data segment. S24. Perform a bitwise XOR operation on the high-order data segment and the shifted data segment to obtain an initial digest sequence. Perform binary concatenation of the initial digest sequence and the system startup timestamp to obtain a concatenated data stream. Perform nonlinear algebraic permutation and bit reversal transformation on the concatenated data stream to output an authentication token.
[0008] Optionally, the reverse path tracing and error correction reconstruction specifically includes: Read the immutable hardware identifier of the communication module and the registration template sequence in the non-volatile memory, and output the comparison sequence data, the immutable hardware identifier and the registration template sequence; A two-dimensional index grid is constructed based on the sequence data to be compared, and the grid nodes are traversed to detect the binary consistency status of the current bit pair; If the states are consistent, the similarity gain is accumulated; if the states are inconsistent, the difference loss is accumulated. The grid score of the current node is updated by combining the propagation score of the previous row node or the previous column node, and the index position of the previous node of the current node is recorded. The score matrix and path direction matrix are output. Based on the score matrix, the global maximum value is searched by traversing the values of all grid nodes. The grid coordinates where the global maximum value is located are recorded as the backtracking starting point coordinates, and the backtracking starting point coordinates are output. Initialize the current node coordinates as the backtracking starting point coordinates. Based on the backtracking starting point coordinates and the path direction matrix, perform iterative reverse coordinate retrieval to obtain the parent node coordinates of the current node. Calculate the two-dimensional coordinate difference vector between the current node coordinates and the parent node coordinates. Determine the path offset direction based on the numerical characteristics of the two-dimensional coordinate difference vector. Output a backtracking path structure containing a sequence of path offset directions. Based on the backtracking path structure, the registration template sequence, and the immutable hardware identifier, the reconstruction queue is dynamically initialized and the backtracking path structure is traversed according to the backtracking order. If the current path offset direction is diagonal, the corresponding bit of the immutable hardware identifier is written into the reconstruction queue. If the current path offset direction is horizontal or vertical, empty bit insertion or bit data compensation is performed on the reconstruction queue based on sequence alignment logic, and the reconstructed hardware identifier is output.
[0009] Optionally, the iterative reverse coordinate retrieval specifically includes: Based on the backtracking starting point coordinates and the path direction matrix, initialize the current node coordinates, retrieve the storage unit corresponding to the current node coordinates in the path direction matrix to obtain the backtracking direction vector, and output the current node coordinates and the backtracking direction vector; Based on the backtracking direction vector, the row index offset and column index offset contained in the backtracking direction vector are parsed. Based on the row index offset and the column index offset, the coordinate subtraction operation is performed on the current node coordinates to calculate the parent node coordinates and output the parent node coordinates. Based on the parent node coordinates, verify whether the parent node coordinates are within the matrix index boundary range. If the parent node coordinates are within the matrix index boundary range, update the parent node coordinates to the updated current node coordinates and output the updated current node coordinates to continue iterative retrieval. If the parent node coordinates exceed the matrix index boundary range, output the backtracking path structure.
[0010] Optionally, S3 specifically includes: S31. Parse the authentication token to extract the security environment initialization vector, calculate the access control bit mask of the memory protection unit based on the security environment initialization vector, configure the memory partition boundary of the real-time operating system using the access control bit mask, load the lightweight network protocol stack into the security area defined by the memory partition boundary, and output the trusted environment context. S32. Based on the trusted environment context, read the resource requirement feature matrix of the lightweight network protocol stack and the remaining available resource set of the system, calculate the resource matching index of the resource requirement feature matrix and the remaining available resource set of the system, perform weighted mapping calculation based on the resource matching index to obtain the actual buffer allocation value, and initialize the network protocol stack instance using the actual buffer allocation value. S33. Collect radio frequency signal strength sample sequences of cellular networks, calculate the moving average fluctuation value and variance of the radio frequency signal strength sample sequences, and quantify the channel interference level based on the moving average fluctuation value and variance. S34. Read the historical interference baseline value from the non-volatile memory, calculate the interference deviation between the channel interference level and the historical interference baseline value, calculate the link availability probability based on the interference deviation using a probability mapping function, initiate a network registration request in response to the link availability probability meeting the network access conditions, parse the registration confirmation message to obtain the network side address, and output the network side address and link status.
[0011] Optionally, S4 specifically includes: S41. Based on the network side address and link status, calculate the peak bandwidth utilization rate of the protocol stack interface, deduce the minimum clock division coefficient of the serial interface based on the peak bandwidth utilization rate, configure the flow control threshold of the serial interface controller using the minimum clock division coefficient, and output the protocol stack interface handle and peak bandwidth utilization rate. S42. Based on the protocol stack interface handle, read the fragmentation index of the system memory heap, calculate the optimal depth of the circular buffer to eliminate memory copy overhead, allocate contiguous physical memory based on the optimal depth of the circular buffer and initialize the linked list pointer, and output the base address of the multi-buffer queue. S43. Based on the multi-buffered queue base address and the peak bandwidth utilization rate, map the physical layer chip's receive first-in-first-out queue address, calculate the bus arbitration weight of the direct memory access controller using the peak bandwidth utilization rate, configure the direct memory access channel register based on the bus arbitration weight, generate a buffer empty / full state interrupt vector, and output the buffer pointer.
[0012] Optionally, S5 specifically includes: S51. Based on the network side address and buffer pointer, parse the subnet mask parameters and buffer memory capacity, calculate the fragmentation distribution index of the address pool, calculate the adaptive lease lifetime based on the fragmentation distribution index, parse the source port characteristics of the access device request message, generate the internal network address port, allocate the internal network address, and extract the message hardware address identifier in the message. S52. Based on the internal network address, the packet hardware address identifier, the network side address, the internal network address port, and the adaptive lease lifetime, calculate the port hash collision probability of network address translation; S53. Select the target network side port based on the port hash collision probability, assemble the mapping tuple between the internal network address port and the target network side port, calculate the index hash value of the mapping tuple, and output the address mapping table entry. S54. Based on the packet hardware address identifier and the address mapping table entry, traverse the rule set of the device access control list, calculate the logical matching degree between the rule set and the packet hardware address identifier, map the logical matching degree to the mask bits of the link layer hardware filter, configure the physical layer receive frame filtering logic, and output the address mapping table entry and the link layer filtering strategy.
[0013] Optionally, S6 specifically includes: S61. Based on the buffer pointer and the link layer filtering strategy, parse the read-write index difference of the ring buffer, calculate the effective packet length of the ring buffer based on the read-write index difference, read the memory data of the direct memory access channel based on the effective packet length, remove the Ethernet frame header padding bits, and output the original remote management command. S62. Based on the original remote management command and the identity authentication token, extract the message payload sequence and the carried signature digest value, use the identity authentication token to perform hash message authentication code calculation on the message payload sequence, generate a real-time verification fingerprint, calculate the Hamming distance between the real-time verification fingerprint and the signature digest value, determine the authentication result based on the Hamming distance, and output the command data packet that has passed the verification. S63. Determine the instruction type based on the verified instruction data packet; if the instruction type is a normal data stream, calculate the checksum and differential compensation value according to the address mapping table entry and perform source address modification and forwarding, and output the target data packet to be forwarded; if the instruction type is a remote management instruction, strip the network layer encapsulation header, extract the application layer payload data, and output the application layer encrypted data stream.
[0014] Optionally, S7 specifically includes: S71. Initialize the network listening socket based on the network side address, load the instruction function mapping table, parse the client connection message to extract the client random number, calculate the session master key in combination with the identity authentication token, negotiate the encryption algorithm parameters based on the session master key, construct a secure transmission channel, and output the secure session context, instruction function mapping table and protocol stack interface handle. S72. Based on the secure session context and the instruction function mapping table, receive the application layer encrypted data stream and decrypt the application layer encrypted data stream, extract the instruction identifier and parameter body, calculate the cyclic redundancy check value of the parameter body, and output the cyclic redundancy check value, the instruction identifier, the parameter body and the protocol stack interface handle. S73. Filter invalid data based on the cyclic redundancy check value, retrieve the instruction function mapping table based on the instruction identifier, parse the data type of the parameter body, perform data format standardization conversion based on the data type, and output standardized control instructions and protocol stack interface handles. S74. Extract the instruction identifier based on the standardized control instruction and the protocol stack interface handle. If the instruction identifier is a parameter configuration, extract the configuration parameter from the standardized control instruction, calculate the memory address offset of the configuration parameter, and call the protocol stack interface handle to write the configuration parameter into the register corresponding to the memory address offset. S75. Extract the instruction identifier based on the standardized control instruction and the protocol stack interface handle. If the instruction identifier is a firmware update, extract the firmware package from the standardized control instruction, parse the version vector of the firmware package, calculate the firmware fragment checksum of the firmware package, and output the version vector, the firmware fragment checksum and the protocol stack interface handle. S76. Perform version compatibility verification based on the version vector, the firmware fragment checksum, and the protocol stack interface handle. Perform firmware integrity verification based on the firmware fragment checksum. In response to both the version compatibility verification and the firmware integrity verification passing, call the protocol stack interface handle to guide the system to reload the firmware and output the operation execution status.
[0015] The beneficial effects of this invention are: (1) This invention constructs a grid matrix by extracting the hardware fingerprint of the communication module and the registration template, and performs reverse path tracing and error correction reconstruction to obtain the reconstructed hardware identifier. It calculates the root key seed of the dynamic confusion vector using bit statistical features, and performs nonlinear algebraic permutation by combining Hamming weight segment shift and system startup timestamp concatenation to output an authentication token. Based on the authentication token, a trust environment is constructed and a memory protection unit access control bitmask is configured. A lightweight network protocol stack is loaded into the secure memory partition. A cellular network RF signal strength sample sequence is collected to calculate the deviation between the channel interference level and the historical interference baseline. A probability mapping function is executed to calculate the link availability probability, and network registration is driven based on the link availability probability. This process utilizes hardware physical features to generate a high-entropy authentication token, establishes a complete trust chain from the underlying hardware to the upper-layer protocol, and, combined with a channel quality awareness mechanism, realizes high-strength security authentication for device access and intelligent adaptive management of network connections.
[0016] (2) This invention constructs a ring buffer multi-buffer queue and configures direct memory access bus weights by configuring protocol stack interface handles based on network-side addresses and link states. It parses subnet mask parameters and buffer memory capacity to calculate port hash collision probabilities, generates address mapping entries, and integrates link-layer filtering strategies. It uses buffer pointers and link-layer filtering strategies to perform data transfer and instruction verification, and combines authentication tokens to perform hash message authentication code calculations on message payload sequences. It establishes a secure transmission channel based on network-side addresses, loads instruction function mapping tables to decrypt and standardize the received application-layer encrypted data streams, and calls protocol stack interface handles to modify system parameters or trigger remote firmware updates. This architecture optimizes memory access efficiency through a ring buffer, achieves precise flow control using address mapping entries and link-layer filtering strategies, and combines end-to-end secure encryption channels and instruction verification mechanisms to realize efficient data forwarding and secure and reliable execution of remote management instructions. Attached Figure Description
[0017] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1This is an overall flowchart of a novel 4G router implementation method based on Internet of Things security proposed in this invention; Figure 2 This is a flowchart illustrating the working principle of reverse path tracing and error correction reconstruction of a novel 4G router implementation method based on IoT security proposed in this invention. Detailed Implementation
[0018] The invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic diagrams, illustrating only the basic structure of the invention, and therefore only show the components relevant to the invention.
[0019] refer to Figure 1 and Figure 2 A novel 4G router implementation method based on IoT security, specifically including: S1. Initialize the mapping relationship between the serial communication link and the physical layer device, parse the security policy and load the access control rules in combination with the hardware address identifier to generate the device access control list; S2. Extract the hardware fingerprint and registration template of the communication module, construct a grid matrix to perform reverse path tracing and error correction reconstruction, calculate the dynamic confusion vector derived root key seed using bit statistical features, perform segmented shift based on Hamming weight and concatenate it with the system startup timestamp to perform nonlinear algebraic permutation, and output the identity authentication token. S3. Build a trust environment based on identity authentication tokens and adaptively deploy the protocol stack. Use the channel interference level to drive network registration to output network-side addresses and link status. S4. Configure the protocol stack interface handle based on the network side address and link status, construct a ring buffer multi-buffer queue using the protocol stack interface handle, map the physical layer address with bandwidth characteristics and configure the direct memory access bus weight, and output the buffer pointer and protocol stack interface handle. S5. Configure address and port parameters based on network side address and buffer pointer, calculate port hash collision probability to generate address mapping table entries, and combine packet hardware address identifier to traverse device access control list rule set to integrate link layer filtering policy, and output address mapping table entries and link layer filtering policy. S6. Utilize buffer pointers and link layer filtering strategies to perform data transfer and instruction verification. Based on the instruction type, use address mapping entries to perform address mapping forwarding or extract application layer encrypted data streams. S7. Establish a secure transmission channel based on the network-side address, load the instruction function mapping table, receive application layer encrypted data streams for decryption and format standardization conversion; call the protocol stack interface handle to modify system parameters or trigger remote firmware updates.
[0020] In this embodiment, S1 specifically includes: S11. Read the system clock source frequency value of the 4G module. Set the target transmission rate to 25 megabits per second. Divide the system clock source frequency value by the target transmission rate value to calculate the clock division factor. Substitute the clock division factor into the SPI bus timing configuration register to calculate the setup time and hold time as bus timing parameters. Configure the general-purpose input / output pin multiplexing status and interrupt trigger mode using the clock division factor and bus timing parameters, and output the serial interface bus configuration parameter set.
[0021] S12. Using the serial interface bus to configure the parameter set, send a reset instruction sequence to the Ethernet physical layer chip CH390 via the SPI bus. After waiting for 10 microseconds, read the value of the physical layer identifier register of CH390. If the value is consistent with the preset value 0x00, the compatibility check is deemed to have passed. Read the value of the media access control address register of CH390, convert the value to hexadecimal string format, and output the hardware address identifier.
[0022] S13. Read the original access control rule data of the local storage area, perform address field parsing and duplicate removal operations on the source address field and destination address field in the original access control rule data using the hardware address identifier, map the parsed access control rule data to the hardware filter index table in memory, and output the device access control list. The serial interface bus configuration parameter set and the device access control list are used to initialize the mapping relationship between the serial communication link and the physical layer device.
[0023] In this embodiment, S2 specifically includes: S21. Read the immutable hardware identifier of the communication module and the registration template sequence in the non-volatile memory, combine the immutable hardware identifier and the registration template sequence to generate the comparison sequence data, construct the score matrix and path direction matrix based on the comparison sequence data, and perform reverse path tracing and error correction reconstruction to obtain the reconstructed hardware identifier. S22. Calculate the frequency of occurrence of binary bits with a value of 1 in the reconstructed hardware identifier to obtain the bit feature distribution value. Calculate the absolute value of the difference between the bit feature distribution value and the preset benchmark value of 0.5 as the random jitter parameter. Convert the random jitter parameter into a set of 64-bit binary sequences as the dynamic obfuscation vector. Perform a bitwise XOR operation between the reconstructed hardware identifier and the dynamic obfuscation vector. That is, if the corresponding bit values are the same, the result is 0, and if they are different, the result is 1. Output the root key seed.
[0024] S23. Based on the root key seed, extract the first 32 bits of data from the most significant bit as the high-order data segment, and extract the last 32 bits of data as the low-order data segment; count the number of binary bits with a value of 1 in the high-order data segment to obtain the Hamming weight, and use the value of the Hamming weight as the cyclic shift step size; use the cyclic shift step size to perform a leftward cyclic shift operation on the low-order data segment, and move the leftmost value of the low-order data segment to the rightmost value in sequence to obtain the shifted data segment.
[0025] S24. Perform a bitwise XOR operation on the high-order data segment and the shifted data segment to obtain an initial digest sequence. Read the millisecond value of the system real-time clock and convert it into a 32-bit binary sequence as the system startup timestamp. Concatenate the initial digest sequence and the system startup timestamp end to end to obtain a concatenated data stream. Perform carry-preserving addition and bitwise NOT operations on every 8-bit data segment in the concatenated data stream to generate the final authentication token. The authentication token is used to build a trust environment in the future.
[0026] In its implementation, this invention inherits the basic logic of sequence matching based on hardware identifiers and pre-stored templates in traditional Internet of Things identity authentication. However, it has been deeply modified to address the problem that random errors and bit offsets in identifier collection caused by signal interference or physical aging of hardware in complex environments, which leads to a decrease in identity authentication pass rate and instability in key generation.
[0027] Traditional techniques typically employ simple string matching or hash comparison, lacking fault tolerance and reconstruction capabilities for acquisition errors. Noise in the source data can lead to authentication failure or the generation of incorrect root keys. This invention, however, creatively constructs a closed-loop generation system from "dynamic programming sequence alignment" to "obfuscation-enhanced key derivation." Based on immutable hardware identifiers and registration template sequences, it constructs a score matrix and a path direction matrix, performs reverse path tracing and error correction reconstruction including empty bit insertion and bit compensation, outputs the reconstructed hardware identifier, and then calculates random jitter parameters by statistically analyzing its binary bit feature distribution values to generate a dynamic obfuscation vector. Finally, it combines cyclic shift and nonlinear algebraic permutation transformations to output the identity authentication token.
[0028] This transformation system completely solves the problems of false identity rejection and vulnerability of the key space caused by the fragility of hardware fingerprints in traditional methods. It realizes the transformation of noise tolerance at the physical layer into strong key robustness at the application layer, effectively avoids the risk of static keys being attacked by side channels, and significantly improves the success rate of device identity authentication and the randomness of root key generation in non-ideal communication environments. It provides an unforgeable and unique identity foundation for the subsequent establishment of a high-security trust environment and encrypted transmission channel.
[0029] In this embodiment, reverse path tracing and error correction reconstruction specifically include: Read the 128-bit immutable hardware identifier of the communication module and the registration template sequence in the non-volatile memory. Use the immutable hardware identifier as the row index vector and the registration template sequence as the column index vector, and combine them bit-aligned to generate the comparison sequence data. Construct a two-dimensional index grid matrix with 129 rows and 129 columns based on the comparison sequence data. Traverse the grid nodes to detect the binary consistency status of the current bit pair. If the status is consistent, assign a positive integer score of 1 as a similarity gain. If the status is inconsistent, assign a negative integer score of 1 as a difference loss. Read the grid score of the previous row node or the previous column node and take the maximum value as the propagation score. Add the propagation score and the similarity gain or difference loss to update the grid score of the current node. Record the index position of the node from which the score comes as the index position of the previous node of the current node. Output a score matrix containing all grid score values and a path direction matrix containing all previous node index positions.
[0030] Initialize the current node coordinates as the backtracking starting point coordinates. Based on the backtracking starting point coordinates and the path direction matrix, perform iterative reverse coordinate retrieval to obtain the parent node coordinates of the current node. Calculate the two-dimensional coordinate difference vector between the current node coordinates and the parent node coordinates. Determine the path offset direction based on the numerical characteristics of the two-dimensional coordinate difference vector. Output the backtracking path structure containing the path offset direction sequence.
[0031] Based on the backtracking path structure, the registration template sequence, and the immutable hardware identifier, an empty reconstruction queue is dynamically initialized, and each node in the backtracking path structure is traversed in the order from the backtracking start point to the end point. If the path offset direction corresponding to the current node is diagonal, the bit data at the corresponding position in the immutable hardware identifier is written to the tail of the reconstruction queue. If the current path offset direction is horizontal or vertical, the value 0 or 1 is inserted into the tail of the reconstruction queue to perform empty bit insertion and bit data compensation. After the traversal is completed, the reconstructed hardware identifier is output.
[0032] In this embodiment, iterative reverse coordinate retrieval specifically includes: Based on the backtracking starting point coordinates and the path direction matrix, the current node coordinates are initialized as the backtracking starting point coordinates. The storage unit corresponding to the current node coordinates in the path direction matrix is retrieved, the previous node index vector recorded in the storage unit is read, the previous node index vector is used as the backtracking direction vector, and the current node coordinates and the backtracking direction vector are output.
[0033] The backtracking direction vector contains row and column index offsets. The parent node coordinates are calculated by subtracting the row index offset from the current node's coordinates and the column index offset from the current node's coordinates. The parent node coordinates are then verified to be within the matrix index boundary. If the parent node coordinates are within the matrix index boundary, they are updated to the current node coordinates, and the updated current node coordinates are output to continue iterative retrieval. If the parent node coordinates exceed the matrix index boundary, the iteration is terminated and the backtracking path structure is output.
[0034] In this embodiment, S3 specifically includes: S31. Parse the authentication token to extract a 128-bit security environment initialization vector. Calculate the digest value of the security environment initialization vector using the SHA-256 secure hash algorithm. Take the first 32 bits of the digest value as the access control bitmask of the memory protection unit. Use the access control bitmask to configure the memory partition boundary of the real-time operating system. Set the starting address of the security region to 0x20000000 and the length to 512 kilobytes. Load the lightweight network protocol stack LWIP2.0.3 into the security region defined by the memory partition boundary. Output the trusted environment context containing the security region address and running status parameters.
[0035] S32. Based on the trusted environment context, read the resource requirement feature matrix of the lightweight network protocol stack and the set of remaining available resources in the system. Calculate the ratio of the peak memory requirement in the resource requirement feature matrix to the available memory capacity in the set of remaining available resources in the system as the resource matching index. Set the weighting coefficient to 0.8, multiply the weighting coefficient by the buffer requirement value in the resource requirement feature matrix, perform weighted mapping calculation to obtain the actual buffer allocation value, and initialize the network protocol stack instance using the actual buffer allocation value.
[0036] S33. Collect a sample sequence of radio frequency signal strength of cellular network. The sample sequence length is 10 data points. Calculate the arithmetic mean of the radio frequency signal strength sample sequence as the moving average fluctuation value. Calculate the average of the sum of squares of the differences between each data point in the sequence and the moving average fluctuation value as the variance. Use the variance multiplied by the coefficient 2 for quantization to obtain the channel interference level.
[0037] S34. Read the historical interference baseline value from the non-volatile memory, calculate the absolute value of the difference between the channel interference level and the historical interference baseline value as the interference deviation, set the Sigmoid function as the probability mapping function, substitute the interference deviation into the Sigmoid function to calculate the link availability probability with a value between 0 and 1; set the network access condition as the link availability probability being greater than 0.75, and initiate a network registration request in response to the link availability probability meeting the network access condition, parse the registration confirmation message returned by the network side to extract the IP address field, and output the network side address and link status.
[0038] In its implementation, this invention inherits the basic communication logic of traditional embedded network systems based on static memory allocation and standard network registration processes, but it has been deeply modified to address the problems of protocol stacks being susceptible to buffer overflow attacks and poor connection stability caused by wireless channel fluctuations in open network environments.
[0039] Traditional techniques typically divide memory regions based on fixed thresholds and employ blind network registration strategies. They cannot dynamically adjust memory isolation precision according to the trust level of authentication tokens, nor can they perceive channel quality in real time to avoid high-interference periods. This results in low system resource utilization and repeated connection attempts under poor link conditions. In contrast, this invention creatively constructs an adaptive closed-loop control system from "trust root-driven memory isolation" to "channel-aware triggered access." It parses the identity authentication token to extract the security environment initialization vector and calculates the access control bitmask to dynamically configure memory partition boundaries. Simultaneously, it collects radio frequency signal strength sample sequences to calculate the moving average fluctuation value and variance to quantify the channel interference level. Based on the interference deviation, it executes a probability mapping function to calculate the link availability probability, thereby guiding network registration decisions.
[0040] This transformation system completely solves the problems of resource waste and connection jitter caused by the separation of security configuration and link state in traditional methods. It realizes the transformation of abstract trust level into concrete hardware-level memory protection and dynamic channel environment into precise access timing judgment. It effectively improves the protocol stack's anti-attack capability and anti-interference robustness in complex electromagnetic environment, significantly reduces the power consumption caused by invalid registration attempts, and provides a solid software and hardware environment foundation for the subsequent construction of highly reliable and low-latency data transmission channels.
[0041] In this embodiment, S4 specifically includes: S41. Based on the network-side address and link status, set the target transmission rate to 100 megabits per second, read the system clock frequency of the 4G module, divide the system clock frequency by the target transmission rate to calculate the peak bandwidth utilization of the protocol stack interface; based on the peak bandwidth utilization, use the system clock frequency divided by the peak bandwidth utilization value to deduce the minimum clock division factor of the serial interface, write the minimum clock division factor into the configuration register of the serial interface controller, set the flow control threshold to 128 bytes, use the minimum clock division factor to configure the flow control threshold of the serial interface controller, and output the protocol stack interface handle and peak bandwidth utilization.
[0042] S42. Based on the protocol stack interface handle, read the fragmentation index of the system memory heap, set the maximum single data packet length to 1500 bytes, and calculate the optimal depth of the circular buffer to eliminate memory copy overhead by multiplying the maximum single data packet length by 2. Based on the optimal depth of the circular buffer, request contiguous physical memory from the operating system and initialize the linked list pointer, record the memory start address as the base address, and output the base address of the multi-buffered queue.
[0043] S43. Based on the base address of the multi-buffered queue and the peak bandwidth utilization rate, map the receive first-in-first-out queue register address of the physical layer chip CH390 to the base address of the multi-buffered queue. Calculate the bus arbitration weight of the direct memory access controller by multiplying the peak bandwidth utilization rate by a preset coefficient of 0.5. Configure the direct memory access channel register based on the bus arbitration weight, set the interrupt trigger level to high, generate an interrupt vector for the buffer empty / full state, and output a buffer pointer pointing to the contiguous physical memory.
[0044] In this embodiment, S5 specifically includes: S51. Based on the network-side address and buffer pointer, parse the 32-bit subnet mask parameter and buffer memory capacity, calculate the ratio of the number of allocated addresses to the buffer memory capacity as the fragmentation distribution index of the address pool, and calculate the adaptive lease lifetime by multiplying the preset base lease time of 3600 seconds by the result of a power operation with the value of 1 as the base and the fragmentation distribution index as the exponent; parse the 16-bit source port feature of the access device request message, set the starting value of the internal network address to 192.168.3.100, allocate the internal network address incrementally according to the access order, and parse the message link layer header to extract the message hardware address identifier with a length of 48 bits.
[0045] S52. Based on the internal network address, packet hardware address identifier, network side address, internal network address port and adaptive lease lifecycle, construct a port hash operation model. Use the remainder of the internal network address port value divided by the value 65536 as the hash key value. Calculate the product of the hash key value and the current number of active connections, and then divide it by the value 65536 to obtain the port hash collision probability of network address translation.
[0046] S53. Based on the port hash collision probability, select the target network side port with a value range of 1024 to 65535, assemble a mapping tuple containing the internal network address port and the target network side port, perform cyclic redundancy check (CRC32) calculation on each byte in the mapping tuple, take the modulo of the calculation result with the address mapping table length to obtain the index hash value, store the mapping tuple in the memory unit pointed to by the index hash value, and output the address mapping table entry.
[0047] S54. Based on the message hardware address identifier and address mapping table entry, traverse the rule set of the device access control list, count the number of rule entries in the rule set that successfully match the message hardware address identifier, and divide by the total number of rule entries to obtain the logical matching degree; use the Sigmoid function to map the logical matching degree to a probability value between 0 and 1, set the value to 0.5 as the threshold, if the probability value is greater than the threshold, configure the mask bit of the link layer hardware filter to the value 1, otherwise configure it to the value 0, use the mask bit to configure the receive frame filtering logic of the physical layer CH390, and output the address mapping table entry and the link layer filtering strategy.
[0048] In this embodiment, S6 specifically includes: S61. Based on the buffer pointer and link layer filtering strategy, read the current write index pointer and the current read index pointer of the ring buffer, and calculate the read-write index difference of the ring buffer by subtracting the read index pointer value from the write index pointer value; perform a modulo operation on the read-write index difference to calculate the effective packet length of the ring buffer, read the memory data of the direct memory access channel based on the effective packet length, remove the 14-byte padding bits of the Ethernet frame header, and output the original remote management command.
[0049] S62. Based on the original remote management command and the authentication token, extract the message payload sequence and the carried signature digest value, set the HMAC-SHA256 algorithm as the activation function, use the authentication token as the key to perform hash message authentication code calculation on the message payload sequence, and generate a real-time verification fingerprint with a length of 256 bits; calculate the bitwise XOR result of the real-time verification fingerprint and the signature digest value, and use the number of binary bits with a value of 1 in the result as the Hamming distance; set the authentication threshold to a value of 5, if the Hamming distance is less than a value of 5, the authentication result is determined to be passed, the signature digest value is stripped, and the verified command data packet is output.
[0050] S63. Determine the instruction type based on the verified instruction data packet; if the instruction type is a normal data stream, read the old checksum field according to the address mapping table entry, calculate the 16-bit one's complement sum of the new source address, subtract the old checksum field from the 16-bit one's complement sum of the new source address to obtain the checksum differential compensation value, add the checksum differential compensation value to the data packet checksum field, perform source address modification and forwarding, and output the target data packet to be forwarded; if the instruction type is a remote management instruction, strip the 20-byte encapsulation header of the network layer, extract the remaining data as application layer payload data, and output the application layer encrypted data stream.
[0051] In this embodiment, S7 specifically includes: S71. Initialize a network listening socket with port number 443 based on the network side address, load the instruction function mapping table, parse the client connection message to extract a 128-bit client random number, perform a bitwise XOR operation between the client random number and a 128-bit authentication token to calculate the session master key; use the session master key as the input parameter of the AES-256 activation function to negotiate and generate 128-bit encryption algorithm parameters, build a secure transmission channel, and output the secure session context, instruction function mapping table, and protocol stack interface handle.
[0052] S72. Based on the secure session context and instruction function mapping table, receive the application layer encrypted data stream, use the AES-256 activation function to perform decryption operation on the application layer encrypted data stream, extract the instruction identifier in the message header and the parameter body in the message tail; perform polynomial division operation on each byte of the parameter body, calculate the cyclic redundancy check value of the parameter body, and output the cyclic redundancy check value, instruction identifier, parameter body and protocol stack interface handle.
[0053] S73. Filter invalid data based on cyclic redundancy check value. If the cyclic redundancy check value is consistent with the check field carried in the message, retrieve the instruction function mapping table based on the instruction identifier and parse the data type of the parameter body. If the data type is floating point, convert the 32-bit floating point value to the IEEE 754 standard format, perform data format standardization conversion, and output the standardized control instruction and protocol stack interface handle.
[0054] S74. Extract the instruction identifier based on the standardized control instructions and protocol stack interface handle. If the instruction identifier is parameter configuration, extract the configuration parameter from the standardized control instructions, multiply the logical number of the configuration parameter by the value 4, calculate the 32-bit memory address offset of the configuration parameter, call the write register function corresponding to the protocol stack interface handle, write the configuration parameter to the register corresponding to the sum of the base address and the memory address offset, and output the operation execution status.
[0055] S75. Extract the instruction identifier based on the standardized control instructions and protocol stack interface handle. If the instruction identifier is a firmware update, extract the firmware packet from the standardized control instructions, parse the 4-byte field in the firmware packet header as the version vector, perform an accumulation and summation operation on the data blocks of the firmware packet, calculate the firmware fragment checksum of the firmware packet, and output the version vector, firmware fragment checksum and protocol stack interface handle.
[0056] S76. Based on the version vector, firmware fragment checksum, and protocol stack interface handle, perform version compatibility verification by comparing the version vector with the current system version vector; set the integrity threshold to 0, and subtract the integrity threshold from the firmware fragment checksum to obtain the verification deviation; if the verification deviation is 0, the firmware integrity verification is considered to have passed; in response to both version compatibility verification and firmware integrity verification passing, call the protocol stack interface handle to trigger the system soft reset vector, guide the system to reload the firmware, and output the operation execution status.
[0057] Example 1: To verify the feasibility of this invention in IoT edge gateway security protection, the method of this invention was applied to a new 4G industrial router security access system of an industrial internet solution provider (hereinafter referred to as "Company T"). Traditional industrial router products typically employ static firmware authentication and plaintext or simple encryption transmission methods. These methods not only struggle to resist hardware cloning and replay attacks in complex IoT network environments, but also fail to dynamically adjust security strategies based on channel quality and hardware status, easily leading to frequent disconnections or sensitive data leaks due to communication jitter. To solve these problems, Company T decided to adopt the new 4G router implementation method based on IoT security proposed in this invention.
[0058] During implementation, Company T first used the immutable hardware identifier of the 4G communication module and the registration template sequence in non-volatile memory to construct the comparison sequence data. Simultaneously, the company's security team performed precise feature annotation on the collected hardware fingerprint data, serving as the benchmark for generating the root of trust.
[0059] Company T performs reverse path tracing and error correction reconstruction by dynamically programming the score matrix and path direction matrix, outputting a denoised reconstructed hardware identifier. Random jitter parameters are calculated using bit feature distribution values to generate a dynamic obfuscation vector. Combined with cyclic shifting and nonlinear algebraic permutation transformations, a unique authentication token is output. Based on this token, a security environment initialization vector is extracted, the access control bitmask of the memory protection unit is calculated, memory partition boundaries are dynamically configured, a lightweight network protocol stack is loaded into the security area, and a trusted environment context is constructed.
[0060] During the core access and transmission phase, this invention collects sample sequences of cellular network radio frequency signal strength, calculates the moving average fluctuation value and variance to quantify the channel interference level, calculates the link availability probability through a probability mapping function, and initiates a network registration request to obtain the network-side address based on this. Based on a secure transmission channel, the system uses hardware-generated tokens for high-strength authentication of remote management commands and introduces differential verification and compensation mechanisms during NAT forwarding to optimize transmission efficiency.
[0061] During implementation, the technical team at Company T discovered that, compared to traditional fixed-configuration router access methods, the method of this invention significantly improves the authentication success rate and link connection stability of devices in harsh environments. Traditional methods cannot tolerate even minor errors in hardware fingerprints and blindly retry during channel fluctuations, resulting in high power consumption and poor security. In contrast, the method of this invention effectively achieves high-security, reliable communication through error correction and reconstruction authentication, root-of-trust-driven memory isolation, and channel-aware access.
[0062] To further verify the actual performance of the method of the present invention, Company T conducted a detailed comparative test between the method of the present invention and the traditional method. The specific performance data is shown in Table 1: Table 1. Comparison of Security Access Performance of Company T's 4G Industrial Routers
[0063] As shown in Table 1, the performance of the 4G industrial router secure access system was comprehensively improved after applying the method of this invention. The hardware authentication pass rate increased from 85.2% using traditional methods to 99.1%, and the malicious cloning identification rate significantly improved from 60.5% to 98.8%, significantly enhancing the anti-counterfeiting capabilities of the devices and providing a trusted identity foundation for IoT devices. The disconnection rate in weak signal environments decreased from 15.8% to 2.1%, effectively ensuring the continuity of communication in industrial settings. The average network registration time decreased from 8.5 seconds to 3.2 seconds, significantly improving system access efficiency. Furthermore, the memory overflow attack defense rate increased from 75.0% to 99.2%, and the remote command response latency was shortened from 450 milliseconds to 210 milliseconds, greatly improving the system's real-time performance and security. The manual intervention rate for maintenance also decreased from 18.5% to 3.5%.
[0064] Through the method of this invention, Company T has successfully achieved trusted access and secure data transmission for IoT terminal devices, effectively reducing the risks brought about by hardware counterfeiting and network attacks, ensuring secure interaction of industrial data, significantly improving the adaptability and intelligence level of 4G routers in complex industrial environments, and significantly enhancing the defense capabilities and operational stability of edge gateways, providing a strong security foundation for the large-scale deployment of the Industrial Internet.
[0065] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.
Claims
1. A novel 4G router implementation method based on Internet of Things (IoT) security, characterized in that, Includes the following steps: S1. Initialize the mapping relationship between the serial communication link and the physical layer device, parse the security policy and load the access control rules in combination with the hardware address identifier to generate the device access control list; S2. Extract the hardware fingerprint and registration template of the communication module, construct a grid matrix to perform reverse path tracing and error correction reconstruction, calculate the dynamic confusion vector derived root key seed using bit statistical features, perform segmented shift based on Hamming weight and concatenate it with the system startup timestamp to perform nonlinear algebraic permutation, and output the identity authentication token. S3. Build a trust environment based on identity authentication tokens and adaptively deploy the protocol stack. Use the channel interference level to drive network registration to output network-side addresses and link status. S4. Configure the protocol stack interface handle based on the network side address and link status, construct a ring buffer multi-buffer queue using the protocol stack interface handle, map the physical layer address with bandwidth characteristics and configure the direct memory access bus weight, and output the buffer pointer and protocol stack interface handle. S5. Configure address and port parameters based on network side address and buffer pointer, calculate port hash collision probability to generate address mapping table entries, and combine packet hardware address identifier to traverse device access control list rule set to integrate link layer filtering policy, and output address mapping table entries and link layer filtering policy. S6. Utilize buffer pointers and link layer filtering strategies to perform data transfer and instruction verification. Based on the instruction type, use address mapping entries to perform address mapping forwarding or extract application layer encrypted data streams. S7. Establish a secure transmission channel based on the network side address, load the instruction function mapping table, and receive the application layer encrypted data stream for decryption and format standardization conversion. The protocol stack interface handle can be invoked to modify system parameters or trigger a remote firmware update.
2. The method for implementing a novel 4G router based on IoT security according to claim 1, characterized in that, S1 specifically includes: S11. Based on the system clock source frequency and the target transmission rate of the serial communication interface, calculate the clock division coefficient and bus timing parameters, configure the general input / output pin multiplexing status and interrupt triggering mode using the clock division coefficient and bus timing parameters, and output the serial interface bus configuration parameter set. S12. Use the serial interface bus to configure the parameter set and send a reset instruction sequence to the Ethernet physical layer chip. Read the value of the physical layer identifier register of the Ethernet physical layer chip and perform a compatibility check. If the compatibility check passes, read the value of the media access control address register and output the hardware address identifier. S13. Read the original access control rule data of the local storage area, perform address field parsing and duplicate removal on the original access control rule data based on the hardware address identifier, map the parsed access control rule data to the hardware filter index table in memory, and output the device access control list.
3. The method for implementing a novel 4G router based on IoT security according to claim 1, characterized in that, S2 specifically includes: S21. Read the immutable hardware identifier of the communication module and the registration template sequence in the non-volatile memory, combine the immutable hardware identifier and the registration template sequence to generate comparison sequence data, construct a score matrix and a path direction matrix based on the comparison sequence data, and perform reverse path tracing and error correction reconstruction to obtain the reconstructed hardware identifier. S22. Obtain the bit feature distribution value by statistically analyzing the bit frequency distribution of the binary position of the reconstructed hardware identifier. Calculate the random jitter parameter using the bit feature distribution value. Generate a dynamic obfuscation vector based on the random jitter parameter. Perform a bitwise XOR operation on the reconstructed hardware identifier and the dynamic obfuscation vector to output the root key seed. S23. Based on the root key seed, the root key seed is divided into a high-order data segment and a low-order data segment. The Hamming weight of the high-order data segment is calculated as the cyclic shift step size. The cyclic shift step size is used to perform a cyclic left shift operation on the low-order data segment to obtain the shifted data segment. S24. Perform a bitwise XOR operation on the high-order data segment and the shifted data segment to obtain an initial digest sequence. Perform binary concatenation of the initial digest sequence and the system startup timestamp to obtain a concatenated data stream. Perform nonlinear algebraic permutation and bit reversal transformation on the concatenated data stream to output an authentication token.
4. The method for implementing a novel 4G router based on IoT security according to claim 3, characterized in that, The reverse path tracing and error correction reconstruction specifically includes: Read the immutable hardware identifier of the communication module and the registration template sequence in the non-volatile memory, and output the comparison sequence data, the immutable hardware identifier and the registration template sequence; A two-dimensional index grid is constructed based on the sequence data to be compared, and the grid nodes are traversed to detect the binary consistency status of the current bit pair; If the states are consistent, the similarity gain is accumulated; if the states are inconsistent, the difference loss is accumulated. The grid score of the current node is updated by combining the propagation score of the previous row node or the previous column node, and the index position of the previous node of the current node is recorded. The score matrix and path direction matrix are output. Based on the score matrix, the global maximum value is searched by traversing the values of all grid nodes. The grid coordinates where the global maximum value is located are recorded as the backtracking starting point coordinates, and the backtracking starting point coordinates are output. Initialize the current node coordinates as the backtracking starting point coordinates. Based on the backtracking starting point coordinates and the path direction matrix, perform iterative reverse coordinate retrieval to obtain the parent node coordinates of the current node. Calculate the two-dimensional coordinate difference vector between the current node coordinates and the parent node coordinates. Determine the path offset direction based on the numerical characteristics of the two-dimensional coordinate difference vector. Output a backtracking path structure containing a sequence of path offset directions. Based on the backtracking path structure, the registration template sequence, and the immutable hardware identifier, the reconstruction queue is dynamically initialized and the backtracking path structure is traversed according to the backtracking order. If the current path offset direction is diagonal, the corresponding bit of the immutable hardware identifier is written into the reconstruction queue. If the current path offset direction is horizontal or vertical, empty bit insertion or bit data compensation is performed on the reconstruction queue based on sequence alignment logic, and the reconstructed hardware identifier is output.
5. A novel 4G router implementation method based on IoT security according to claim 4, characterized in that, The iterative reverse coordinate retrieval specifically includes: Based on the backtracking starting point coordinates and the path direction matrix, initialize the current node coordinates, retrieve the storage unit corresponding to the current node coordinates in the path direction matrix to obtain the backtracking direction vector, and output the current node coordinates and the backtracking direction vector; Based on the backtracking direction vector, the row index offset and column index offset contained in the backtracking direction vector are parsed. Based on the row index offset and the column index offset, the coordinate subtraction operation is performed on the current node coordinates to calculate the parent node coordinates and output the parent node coordinates. Based on the parent node coordinates, verify whether the parent node coordinates are within the matrix index boundary range. If the parent node coordinates are within the matrix index boundary range, update the parent node coordinates to the updated current node coordinates and output the updated current node coordinates to continue iterative retrieval. If the parent node coordinates exceed the matrix index boundary range, output the backtracking path structure.
6. The method for implementing a novel 4G router based on IoT security according to claim 1, characterized in that, S3 specifically includes: S31. Parse the authentication token to extract the security environment initialization vector, calculate the access control bit mask of the memory protection unit based on the security environment initialization vector, configure the memory partition boundary of the real-time operating system using the access control bit mask, load the lightweight network protocol stack into the security area defined by the memory partition boundary, and output the trusted environment context. S32. Based on the trusted environment context, read the resource requirement feature matrix of the lightweight network protocol stack and the remaining available resource set of the system, calculate the resource matching index of the resource requirement feature matrix and the remaining available resource set of the system, perform weighted mapping calculation based on the resource matching index to obtain the actual buffer allocation value, and initialize the network protocol stack instance using the actual buffer allocation value. S33. Collect radio frequency signal strength sample sequences of cellular networks, calculate the moving average fluctuation value and variance of the radio frequency signal strength sample sequences, and quantify the channel interference level based on the moving average fluctuation value and variance. S34. Read the historical interference baseline value from the non-volatile memory, calculate the interference deviation between the channel interference level and the historical interference baseline value, calculate the link availability probability based on the interference deviation using a probability mapping function, initiate a network registration request in response to the link availability probability meeting the network access conditions, parse the registration confirmation message to obtain the network side address, and output the network side address and link status.
7. The novel 4G router implementation method based on IoT security according to claim 1, characterized in that, S4 specifically includes: S41. Based on the network side address and link status, calculate the peak bandwidth utilization rate of the protocol stack interface, deduce the minimum clock division coefficient of the serial interface based on the peak bandwidth utilization rate, configure the flow control threshold of the serial interface controller using the minimum clock division coefficient, and output the protocol stack interface handle and peak bandwidth utilization rate. S42. Based on the protocol stack interface handle, read the fragmentation index of the system memory heap, calculate the optimal depth of the circular buffer to eliminate memory copy overhead, allocate contiguous physical memory based on the optimal depth of the circular buffer and initialize the linked list pointer, and output the base address of the multi-buffer queue. S43. Based on the multi-buffered queue base address and the peak bandwidth utilization rate, map the physical layer chip's receive first-in-first-out queue address, calculate the bus arbitration weight of the direct memory access controller using the peak bandwidth utilization rate, configure the direct memory access channel register based on the bus arbitration weight, generate a buffer empty / full state interrupt vector, and output the buffer pointer.
8. The method for implementing a novel 4G router based on IoT security according to claim 1, characterized in that, S5 specifically includes: S51. Based on the network side address and buffer pointer, parse the subnet mask parameters and buffer memory capacity, calculate the fragmentation distribution index of the address pool, calculate the adaptive lease lifetime based on the fragmentation distribution index, parse the source port characteristics of the access device request message, generate the internal network address port, allocate the internal network address, and extract the message hardware address identifier in the message. S52. Based on the internal network address, the packet hardware address identifier, the network side address, the internal network address port, and the adaptive lease lifetime, calculate the port hash collision probability of network address translation; S53. Select the target network side port based on the port hash collision probability, assemble the mapping tuple between the internal network address port and the target network side port, calculate the index hash value of the mapping tuple, and output the address mapping table entry; S54. Based on the packet hardware address identifier and the address mapping table entry, traverse the rule set of the device access control list, calculate the logical matching degree between the rule set and the packet hardware address identifier, map the logical matching degree to the mask bits of the link layer hardware filter, configure the physical layer receive frame filtering logic, and output the address mapping table entry and the link layer filtering strategy.
9. A novel 4G router implementation method based on IoT security according to claim 1, characterized in that, S6 specifically includes: S61. Based on the buffer pointer and the link layer filtering strategy, parse the read-write index difference of the ring buffer, calculate the effective packet length of the ring buffer based on the read-write index difference, read the memory data of the direct memory access channel based on the effective packet length, remove the Ethernet frame header padding bits, and output the original remote management command. S62. Based on the original remote management command and the identity authentication token, extract the message payload sequence and the carried signature digest value, use the identity authentication token to perform hash message authentication code calculation on the message payload sequence, generate a real-time verification fingerprint, calculate the Hamming distance between the real-time verification fingerprint and the signature digest value, determine the authentication result based on the Hamming distance, and output the command data packet that has passed the verification. S63. Determine the instruction type based on the verified instruction data packet; if the instruction type is a normal data stream, calculate the checksum and differential compensation value according to the address mapping table entry and perform source address modification and forwarding, and output the target data packet to be forwarded; if the instruction type is a remote management instruction, strip the network layer encapsulation header, extract the application layer payload data, and output the application layer encrypted data stream.
10. A novel 4G router implementation method based on IoT security according to claim 1, characterized in that, Specifically, S7 includes: S71. Initialize the network listening socket based on the network side address, load the instruction function mapping table, parse the client connection message to extract the client random number, calculate the session master key in combination with the identity authentication token, negotiate the encryption algorithm parameters based on the session master key, construct a secure transmission channel, and output the secure session context, instruction function mapping table and protocol stack interface handle. S72. Based on the secure session context and the instruction function mapping table, receive the application layer encrypted data stream and decrypt the application layer encrypted data stream, extract the instruction identifier and parameter body, calculate the cyclic redundancy check value of the parameter body, and output the cyclic redundancy check value, the instruction identifier, the parameter body and the protocol stack interface handle. S73. Filter invalid data based on the cyclic redundancy check value, retrieve the instruction function mapping table based on the instruction identifier, parse the data type of the parameter body, perform data format standardization conversion based on the data type, and output standardized control instructions and protocol stack interface handles. S74. Extract the instruction identifier based on the standardized control instruction and the protocol stack interface handle. If the instruction identifier is a parameter configuration, extract the configuration parameter from the standardized control instruction, calculate the memory address offset of the configuration parameter, and call the protocol stack interface handle to write the configuration parameter into the register corresponding to the memory address offset. S75. Extract the instruction identifier based on the standardized control instruction and the protocol stack interface handle. If the instruction identifier is a firmware update, extract the firmware package from the standardized control instruction, parse the version vector of the firmware package, calculate the firmware fragment checksum of the firmware package, and output the version vector, the firmware fragment checksum and the protocol stack interface handle. S76. Perform version compatibility verification based on the version vector, the firmware fragment checksum, and the protocol stack interface handle. Perform firmware integrity verification based on the firmware fragment checksum. In response to both the version compatibility verification and the firmware integrity verification passing, call the protocol stack interface handle to guide the system to reload the firmware and output the operation execution status.