Network data secure transmission method based on hierarchical network structure

Abstract

The invention discloses a network data secure transmission method based on a hierarchical network structure, comprising: dividing all network nodes in a network into a plurality of clusters, each cluster comprising a cluster head node and a plurality of intra-cluster nodes; selecting the nearest cluster head node for the to-be-transmitted network data for transmission, and determining a transmission mode of the network data; key pools are arranged on a cluster head node and an intra-cluster node, an initial value of a key chain is dynamically generated in combination with a transmission mode of network data, the initial value of the key chain is modified by using an MQ arithmetic encoder and a Chen's hyper-chaotic system, and a network data storage key is randomly generated; the intra-cluster nodes encrypt network data by using the network data storage keys and send the encrypted network data to the corresponding cluster head nodes, and the cluster head nodes fuse the encrypted network data sent by all the intra-cluster nodes, re-encrypt the network data by using the network data storage keys and send the encrypted network data to the corresponding cluster head nodes; and sending the encrypted network data to the base station according to the determined transmission mode of the network data.

Description

Technical Field

[0001] The present invention relates to the technical field of network data transmission, and in particular to a network data security transmission method based on a hierarchical network structure. Background Art

[0002] Existing network data transmission methods include: optical fiber transmission, cable transmission, wireless communication, dedicated network transmission, baseband transmission, frequency band transmission and broadband transmission, etc. However, existing network data transmission methods lack hierarchical management, resulting in low efficiency of network data storage and access, and lack of data aggregation and compression capabilities, resulting in low efficiency of data transmission and storage.

[0003] During network data transmission, encrypting network data is an important measure to ensure network data security. Traditional network data encryption mainly relies on data characteristics to select keys. Specifically, an encryption key is generated or selected based on certain characteristics or attributes of the network data, such as data type, size, source, etc., to encrypt the data. This method works effectively when the amount of data on the network is small and the data type is relatively simple, because different data characteristics can be matched with different keys relatively easily. However, with the rapid increase in network data volume and the increasing complexity of data types, the range of key selection has begun to be limited, and the probability of duplicate keys selected in the traditional encryption process has also increased. This key duplication phenomenon brings the following problems: 1. Reduced security: Key duplication means that different data may be encrypted with the same key, which increases the chances of attackers cracking these keys. Once a key is cracked, all data encrypted with that key is at risk of being leaked, greatly reducing the overall security of data transmission. 2. Vulnerability to attacks: When using duplicate keys, attackers can analyze known encrypted data, exploit the weaknesses of duplicate keys, and use frequent key cracking methods to more easily decrypt other data, further weakening the security of data transmission; 3. Unable to cope with dynamically changing data environments: Traditional encryption methods cannot adapt to complex data types and ever-changing data streams, especially in large-scale network or cloud transmission environments. Dynamic and massive data requires a more flexible and random key management mechanism. Summary of the Invention

[0004] In response to the problems existing in the prior art, the present invention provides a method for secure transmission of network data based on a hierarchical network structure. A network data storage key is generated through a dynamic key mechanism to ensure that each transmission and storage of network data has a unique encryption key. Combined with the hierarchical management of the network structure, it facilitates the distributed transmission of network data and improves the security and reliability of data transmission.

[0005] To achieve the above technical objectives, the present invention adopts the following technical solution: a network data security transmission method based on a hierarchical network structure, comprising the following steps: Step S1: Divide all network nodes in the network into several clusters using a hierarchical cluster routing protocol, where each cluster includes a cluster head node and multiple intra-cluster nodes; Step S2: selecting the nearest cluster head node for transmission of the network data to be transmitted, dynamically setting the distance threshold between the base station and the cluster head node according to the energy consumption coefficient of the cluster head node in sending the network data, and determining the transmission mode of the network data; Step S3: Set up a key pool on both the cluster head node and the nodes within the cluster. Combined with the transmission mode of network data, dynamically generate the initial value of the key chain. Use the MQ arithmetic encoder and Chen's hyperchaotic system to modify the initial value of the key chain and randomly generate the network data storage key. Step S4: The nodes in the cluster use the network data storage key to encrypt the network data and send it to the corresponding cluster head node. The cluster head node merges the encrypted network data sent by all the nodes in the cluster, re-encrypts it using the network data storage key, and sends the encrypted network data to the base station according to the determined network data transmission mode.

[0006] Furthermore, step S1 includes the following sub-steps: step S1.1: generating a random number between 0 and 1 for each network node in the network, and if the random number generated by the network node is less than the cluster head election threshold of the network node, the network node is used as a candidate cluster head node; Step S1.2: Calculate the resource consumption of the candidate cluster head nodes for transmitting network data, determine the resource consumption ratio of the candidate cluster head nodes, sort the resource consumption ratios in descending order, and select the top candidate cluster head nodes. m candidate cluster head nodes as cluster head nodes; Step S1.3: The cluster head node sends a cluster head message to the non-cluster head nodes in a broadcast mode. The non-cluster head nodes send a request to join the cluster to the cluster head node with the strongest signal strength based on the signal strength of the received cluster head message. The non-cluster head nodes that join the cluster are regarded as in-cluster nodes, completing the cluster division.

[0007] Furthermore, the process of setting the cluster head election threshold of the network node is as follows:

[0008] in, Indicates the n The cluster head election threshold of network nodes, Indicates the n The remaining resources of network nodes, Indicates the n The consumed resources of each network node, Indicates the n The average remaining resources of the cluster to which the network node belongs in the last cluster partition, Indicates the n The cluster threshold of network nodes, , Indicates the current cluster number of the network node, Indicates the ratio of cluster head nodes required by the current cluster, Represents the modulo operation.

[0009] Furthermore, the calculation process of the resource consumption of the candidate cluster head node in transmitting network data is as follows:

[0010] in, Indicates the resource consumption of candidate cluster head nodes receiving network data, Indicates the total amount of network data received. Indicates the resources consumed when merging unit bit network data. represents the energy consumption of the candidate cluster head node when sending network data, , mode1 represents the short-distance transmission mode of network data, Indicates the energy consumption coefficient under mode1, mode2 indicates the long-distance transmission mode of network data, ε mp represents the energy consumption coefficient under mode 2, and d represents the distance from the candidate cluster head node to the base station.

[0011] Furthermore, the distance threshold between the base station and the cluster head node is The setup process is:

[0012] in, Indicates the energy consumption coefficient of the short-distance transmission mode of network data, ε mp Indicates the energy consumption coefficient of the long-distance transmission mode of network data.

[0013] Furthermore, when the distance between the base station and the cluster head node is less than the distance threshold between the base station and the cluster head node, the transmission mode of the network data is to send the network data on the cluster head node directly to the base station; otherwise, the transmission mode of the network data is to send the network data on the cluster head node to the base station using a multi-hop mode between cluster head nodes.

[0014] Furthermore, the process of generating the initial value of the key chain in step S3 is as follows:

[0015] in, Indicates the i The initial value of the key chain n chain keys, Represents a recursive Hash function, S represents the key chain seed, G i Indicates the i The key chain's own growth factor, L Indicates the key chain length, N Indicates the total number of key chains, d 0 represents the distance threshold between the base station and the cluster head node.

[0016] Furthermore, in step S3, the initial key chain is modified using the MQ arithmetic encoder and Chen's hyperchaotic system to randomly generate a network data storage key. The specific process is as follows: i. Setting the initial values ​​of the state variables of the Chen's hyperchaotic system to put the Chen's hyperchaotic system into a hyperchaotic state, generating the state variables, and using the initial values ​​of the key chain to generate the initial network data storage key using the state variables; ii. decomposing the binary number into a plurality of bit planes, encoding each bit plane using the generated network data storage key, and correcting each bit plane encoding according to the length of the generated network data storage key; iii. setting the order of the bit-plane codes, generating an initial decision, and correcting the initial decision using the corrected bit-plane codes; iv. Encode the corrected bit plane code and judgment through the MQ arithmetic encoder, input it into Chen's hyperchaotic system, update the state variables, and generate the network data storage key.

[0017] Furthermore, the correction process of the bit plane coding is:

[0018] in, Indicates the correction j Bit-plane coding, Indicates the first jBit-plane coding, Represents the decomposition of a binary number j bit planes, represents the state variables generated by Chen's hyperchaotic system, represents the modulo operation, Indicates the i A network data storage key, , represents the initial value of the state variable of Chen's hyperchaotic system, Express Round up.

[0019] Furthermore, the correction process of the determination is:

[0020] in, Indicates the correction j Bit plane determination, Indicates the first j Bit plane determination, Represents the exclusive OR operation.

[0021] Compared with the prior art, the present invention has the following beneficial effects: (1) The network data security transmission method based on the hierarchical network structure of the present invention performs cluster division through a hierarchical cluster routing protocol and hierarchical management of the network structure, which can improve the storage and transmission efficiency of network data. In the process of cluster division, the resource-rich network nodes are used as cluster head nodes, which optimizes the resource utilization of the network nodes, avoids the problem of excessive or uneven resource consumption, makes the energy consumption in the network more balanced, and improves the reliability of the network; (2) The present invention dynamically sets the distance threshold between the base station and the cluster head node according to the energy consumption of the cluster head node in sending network data, thereby determining the transmission mode of the network data. This breaks the limitation of the traditional fixed transmission mode of network data, can adapt to different network environments, and ensure the balance between low energy consumption and efficient transmission; (3) The present invention utilizes the MQ arithmetic encoder and Chen's hyperchaotic system to modify the initial value of the key chain and randomly generate a network data storage key, thereby ensuring the unpredictability and randomness of the network data storage key and ensuring that each transmission and storage of network data has a unique network data storage key. Even if some network nodes in the network are hijacked, the attacker cannot crack the key chain in the entire network data transmission process, thereby ensuring the security of network data transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a flow chart of a network data security transmission method based on a hierarchical network structure according to the present invention; Figure 2 This is a flowchart of the random generation of network data storage keys in the present invention. DETAILED DESCRIPTION

[0023] The technical solution of the present invention will be further explained below with reference to the accompanying drawings.

[0024] like Figure 1 This is a flowchart of a network data security transmission method based on a hierarchical network structure of the present invention, which includes the following steps: Step S1: Utilize a hierarchical cluster routing protocol to divide all network nodes into several clusters. Each cluster includes a cluster head node and multiple intra-cluster nodes. This hierarchical management of the network structure can improve the storage and transmission efficiency of network data. During the cluster division process, resource-rich network nodes are selected as cluster head nodes, which optimizes the resource utilization of network nodes, avoids the problem of excessive or uneven resource consumption, makes energy consumption in the network more balanced, and improves network reliability. The method includes the following sub-steps: Step S1.1: Generate a random number between 0 and 1 for each network node in the network. If the random number generated by a network node is less than the cluster head election threshold of the network node, the network node is selected as a candidate cluster head node.

[0025] In the process of secure transmission and storage of network data, it is necessary to select resource-rich network nodes as cluster head nodes. Therefore, the present invention designs the cluster head election threshold of network nodes based on the resource consumption of network nodes:

[0026] in, Indicates the n The cluster head election threshold of network nodes, Indicates the n The remaining resources of network nodes, Indicates the n The consumed resources of each network node, Indicates the n The average remaining resources of the cluster to which the network node belongs in the last cluster partition, Indicates the n The cluster threshold of network nodes, , Indicates the current cluster number of the network node, Indicates the ratio of cluster head nodes required by the current cluster, Represents the modulo operation.

[0027] Step S1.2: Calculate the resource consumption of the candidate cluster head nodes to transmit network data, determine the resource consumption ratio of the candidate cluster head nodes, sort the resource consumption ratios in descending order, and select the top candidate cluster head nodes.m The candidate cluster head nodes are used as cluster head nodes, and the network nodes with more remaining resources and less load pressure are dynamically selected as cluster head nodes. This can avoid the network nodes with premature resource exhaustion from taking on the network data transmission task, achieve load balancing, and improve the network resource utilization efficiency and network data transmission efficiency.

[0028] The calculation process of the resource consumption of the candidate cluster head node in transmitting network data in the present invention is:

[0029] in, Indicates the resource consumption of candidate cluster head nodes receiving network data, Indicates the total amount of network data received. Indicates the resources consumed when merging unit bit network data. represents the energy consumption of the candidate cluster head node when sending network data, , mode1 represents the short-distance transmission mode of network data, Indicates the energy consumption coefficient under mode1, mode2 indicates the long-distance transmission mode of network data, ε mp Indicates the energy consumption coefficient under mode2, d Indicates the distance from the candidate cluster head node to the base station.

[0030] Step S1.3: The cluster head node sends a cluster head message to the non-cluster head nodes in a broadcast mode. The non-cluster head nodes send a request to join the cluster to the cluster head node with the strongest signal strength based on the signal strength of the received cluster head message. The non-cluster head nodes that join the cluster are regarded as in-cluster nodes, completing the cluster division.

[0031] Step S2: For the network data to be transmitted, the nearest cluster head node is selected for transmission. According to the energy consumption coefficient of the cluster head node for sending network data, the distance threshold between the base station and the cluster head node is dynamically set to determine the transmission mode of the network data. This breaks the limitations of the traditional fixed transmission mode of network data, can adapt to different network environments, and ensure the balance between low energy consumption and efficient transmission. Specifically, when the distance between the base station and the cluster head node is less than the distance threshold between the base station and the cluster head node, the transmission mode of the network data is to send the network data on the cluster head node directly to the base station; otherwise, the transmission mode of the network data is to send the network data on the cluster head node to the base station using a multi-hop mode between cluster head nodes.

[0032] The distance threshold between the base station and the cluster head node in the present invention The setup process is:

[0033] in, Indicates the energy consumption coefficient of the short-distance transmission mode of network data, ε mp Indicates the energy consumption coefficient of the long-distance transmission mode of network data.

[0034] Step S3: Set up a key pool on both the cluster head node and the nodes within the cluster, and dynamically generate the initial value of the key chain based on the transmission mode of network data. ,in, Indicates the i The initial value of the key chain n chain keys, Represents a recursive Hash function, S represents the key chain seed, G i Indicates the i The key chain's own growth factor, L Indicates the key chain length, N Indicates the total number of key chains, d 0 represents the distance threshold between the base station and the cluster head node.

[0035] By using the MQ arithmetic encoder and Chen's hyperchaotic system to modify the initial value of the key chain and randomly generate the network data storage key, the unpredictability and randomness of the network data storage key can be ensured, and each transmission and storage of network data has a unique network data storage key. Even if some network nodes in the network are hijacked, the attacker cannot crack the key chain in the entire network data transmission process, thus ensuring the security of network data transmission. Specifically, Figure 2 : i. Set the initial value of the state variables of Chen's hyperchaotic system , making Chen's hyperchaotic system in a hyperchaotic state, generating state variables , using the initial value of the key chain to generate the initial network data storage key using the state variable; ii. Decompose the binary number into multiple bit planes and encode each bit plane using the generated network data storage key. An attacker needs to crack the encoding of all bit planes simultaneously to recover the network data. The encoding of each bit plane is corrected according to the length of the generated network data storage key, further increasing the difficulty of cracking.

[0036] in, Indicates the correction j Bit-plane coding, Indicates the first j Bit-plane coding, Represents the decomposition of a binary number j bit planes, represents the modulo operation, Indicates the i A network data storage key, , Express Rounding, Represents the amplification factor, and 256 represents the base of the modular operation.

[0037] iii. Set the order of bit-plane coding, generate an initial decision, and correct the initial decision using the corrected bit-plane coding:

[0038] in, Indicates the correction j Bit plane determination, Indicates the first j Bit plane determination, Represents the exclusive OR operation.

[0039] iv. The corrected bit plane coding and judgment are encoded through the MQ arithmetic encoder to generate an efficient coding result, which is input into the Chen hyperchaotic system, the state variables are updated, and a network data storage key is generated. There is a strong correlation between the generated network data storage key and the network data. Even if the data changes slightly, the generated network data storage key will be significantly different, thereby improving the sensitivity and security of the key and ensuring the secure storage of network data.

[0040] The present invention generates a new network data storage key through repeated iteration and feedback mechanism, ensuring that the key generated each time is unique and unpredictable, thereby enhancing the secure storage of network data.

[0041] Step S4: The nodes in the cluster use the network data storage key to encrypt the network data and send it to the corresponding cluster head node. The cluster head node merges the encrypted network data sent by all the nodes in the cluster, re-encrypts it using the network data storage key, and sends the encrypted network data to the base station according to the determined network data transmission mode.

[0042] The present invention generates a network data storage key through a dynamic key mechanism, ensuring that each transmission and storage of network data has a unique encryption key. Combined with the hierarchical management of the network structure, it facilitates the distributed transmission of network data and improves the security and reliability of data transmission.

[0043] In a technical solution of the present invention, a computer-readable storage medium is further provided, which stores a computer program, and the computer program enables a computer to execute a network data security transmission method based on a hierarchical network structure.

[0044] In one technical solution of the present invention, an electronic device is also provided, including: a memory, a processor, and a computer program stored in the memory and runnable on the processor. When the processor executes the computer program, a network data security transmission method based on a hierarchical network structure is implemented.

[0045] In the embodiments disclosed herein, computer storage media may be tangible media that may contain or store programs for use by or in conjunction with an instruction execution system, apparatus, or device. Computer storage media may include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatuses, or devices, or any suitable combination of the foregoing. More specific examples of computer storage media may include electrical connections based on one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), optical fibers, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0046] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in this application can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0047] The above are merely preferred embodiments of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions based on the principles of the present invention are within the scope of protection of the present invention. It should be noted that for those skilled in the art, various improvements and modifications that do not depart from the principles of the present invention should be considered within the scope of protection of the present invention.

Claims

1. A network data security transmission method based on a hierarchical network structure, characterized in that: The steps include: Step S1: Divide all network nodes in the network into several clusters using a hierarchical cluster routing protocol, where each cluster includes a cluster head node and multiple intra-cluster nodes; Step S2: selecting the nearest cluster head node for transmission of the network data to be transmitted, dynamically setting the distance threshold between the base station and the cluster head node according to the energy consumption coefficient of the cluster head node in sending the network data, and determining the transmission mode of the network data; Step S3: Set up a key pool on both the cluster head node and the nodes within the cluster. Combined with the transmission mode of network data, dynamically generate the initial value of the key chain. Use the MQ arithmetic encoder and Chen's hyperchaotic system to modify the initial value of the key chain and randomly generate the network data storage key. Step S4: The nodes in the cluster use the network data storage key to encrypt the network data and send it to the corresponding cluster head node. The cluster head node merges the encrypted network data sent by all the nodes in the cluster, re-encrypts it using the network data storage key, and sends the encrypted network data to the base station according to the determined network data transmission mode.

2. A network data security transmission method based on a hierarchical network structure according to claim 1, characterized in that: Step S1 includes the following sub-steps: Step S1.1: Generate a random number between 0 and 1 for each network node in the network. If the random number generated by the network node is less than the cluster head election threshold of the network node, the network node is selected as a candidate cluster head node; Step S1.2: Calculate the resource consumption of the candidate cluster head nodes for transmitting network data, determine the resource consumption ratio of the candidate cluster head nodes, sort the resource consumption ratios in descending order, and select the top candidate cluster head nodes. m candidate cluster head nodes as cluster head nodes; Step S1.3: The cluster head node sends a cluster head message to the non-cluster head nodes in a broadcast mode. The non-cluster head nodes send a request to join the cluster to the cluster head node with the strongest signal strength based on the signal strength of the received cluster head message. The non-cluster head nodes that join the cluster are regarded as in-cluster nodes, completing the cluster division.

3. A network data security transmission method based on a hierarchical network structure according to claim 2, characterized in that: The process of setting the cluster head election threshold of the network node is as follows: in, Indicates the n The cluster head election threshold of network nodes, Indicates the n The remaining resources of network nodes, Indicates the n The consumed resources of each network node, Indicates the n The average remaining resources of the cluster to which the network node belongs in the last cluster partition, Indicates the n The cluster threshold of network nodes, , Indicates the current cluster number of the network node, Indicates the ratio of cluster head nodes required by the current cluster, Represents the modulo operation.

4. The method for secure network data transmission based on a hierarchical network structure according to claim 2, characterized in that: The calculation process of the resource consumption of the candidate cluster head node in transmitting network data is as follows: in, Indicates the resource consumption of candidate cluster head nodes receiving network data, Indicates the total amount of network data received. Indicates the resources consumed when merging unit bit network data. represents the energy consumption of the candidate cluster head node when sending network data, , mode1 represents the short-distance transmission mode of network data, Indicates the energy consumption coefficient under mode1, mode2 indicates the long-distance transmission mode of network data, ε mp represents the energy consumption coefficient under mode 2, and d represents the distance from the candidate cluster head node to the base station.

5. The method for secure network data transmission based on a hierarchical network structure according to claim 1, characterized in that: The distance threshold between the base station and the cluster head node The setup process is: in, Indicates the energy consumption coefficient of the short-distance transmission mode of network data, ε mp Indicates the energy consumption coefficient of the long-distance transmission mode of network data.

6. A network data security transmission method based on a hierarchical network structure according to claim 5, characterized in that: When the distance between the base station and the cluster head node is less than the distance threshold between the base station and the cluster head node, the network data transmission mode is to send the network data on the cluster head node directly to the base station; otherwise, the network data transmission mode is to send the network data on the cluster head node to the base station using a multi-hop mode between cluster head nodes.

7. The method for secure network data transmission based on a hierarchical network structure according to claim 1, characterized in that: The process of generating the initial value of the key chain in step S3 is: in, Indicates the i The initial value of the key chain n chain keys, Represents a recursive Hash function, S represents the key chain seed, G i Indicates the i The key chain's own growth factor, L Indicates the key chain length, N Indicates the total number of key chains, d 0 represents the distance threshold between the base station and the cluster head node.

8. A network data security transmission method based on a hierarchical network structure according to claim 7, characterized in that: In step S3, the MQ arithmetic encoder and Chen's hyperchaotic system are used to modify the initial key chain and randomly generate the network data storage key. The specific process is: i. Setting the initial values ​​of the state variables of the Chen's hyperchaotic system to put the Chen's hyperchaotic system into a hyperchaotic state, generating the state variables, and using the initial values ​​of the key chain to generate the initial network data storage key using the state variables; ii. decomposing the binary number into a plurality of bit planes, encoding each bit plane using the generated network data storage key, and correcting each bit plane encoding according to the length of the generated network data storage key; iii. setting the order of the bit-plane codes, generating an initial decision, and correcting the initial decision using the corrected bit-plane codes; iv. Encode the corrected bit plane code and judgment through the MQ arithmetic encoder, input it into Chen's hyperchaotic system, update the state variables, and generate the network data storage key.

9. A network data security transmission method based on a hierarchical network structure according to claim 8, characterized in that: The correction process of the bit plane coding is: in, Indicates the correction j Bit-plane coding, Indicates the first j Bit-plane coding, Represents the decomposition of a binary number j bit planes, represents the state variables generated by Chen's hyperchaotic system, represents the modulo operation, Indicates the i A network data storage key, , represents the initial value of the state variable of Chen's hyperchaotic system, Express Round up.

10. A network data security transmission method based on a hierarchical network structure according to claim 9, characterized in that: The correction process of the determination is: in, Indicates the correction j Bit plane determination, Indicates the first j Bit plane determination, Represents the exclusive OR operation.

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