228results about How to "Improve resistance to attack" patented technology

The invention provides a trademark identification method and system based on an anti-counterfeiting code, and relates to the technical field of anti-counterfeiting identification, and the method comprises the steps: obtaining a to-be-identified trademark image, carrying out the preprocessing, generating a corresponding anti-counterfeiting code through employing an anti-counterfeiting code generation algorithm based on chaotic encryption, and embedding the generated anti-counterfeiting code into a standard trademark image, obtaining a trademark image carrying an anti-counterfeiting code, and carrying out code positioning on the trademark image to obtain a standardized anti-counterfeiting code image; decoding the standardized anti-counterfeiting code image to obtain an original bit stream of the anti-counterfeiting code, and verifying the validity of the original bit stream through Hash verification to obtain an anti-counterfeiting code verification result; and judging the authenticity confidence coefficient of the to-be-identified trademark image by using a pre-trained trademark authenticity judgment model, and outputting a final trademark identification result based on the anti-counterfeiting code verification result and the authenticity confidence coefficient of the to-be-identified trademark image in combination with a pre-acquired multi-source heterogeneous trademark identification evidence.

The invention discloses an environmental monitoring system based on an optical sensor, and relates to the technical field of environmental monitoring, and the system comprises the following components: a quantum entanglement module, an optical sensor integration module, a quantum measurement and data processing module, and a data transmission and sharing module. By integrating the quantum entanglement module, the optical sensor integration module and the quantum measurement and data processing module, high-precision and real-time monitoring of environmental parameters is realized, the quantum entanglement technology provides measurement precision and anti-interference capability superior to those of a traditional optical sensor for the system, the accuracy and reliability of data are ensured, and meanwhile, the quantum entanglement technology can be used for monitoring the environmental parameters in real time. Due to the design of high sensitivity and wide dynamic range of the optical sensor, the system can stably work under various complex environment conditions, and the efficiency and accuracy of environment monitoring are effectively improved.

The invention discloses a security encryption transmission system for game data, and relates to the technical field of game data encryption. Comprising a network environment data collection module, a network risk feature extraction module, a feature analysis and machine learning evaluation module, a network environment classification module, a low-risk network Hash algorithm module and a high-risk network Hash algorithm adjustment module, and various parameter information of the current network environment is comprehensively collected. According to the method, the network environment is intelligently evaluated through machine learning, the system recognizes a high-risk situation in real time, the Hash algorithm is dynamically adjusted, stronger encryption is adopted when the risk is high, the communication safety is improved, and viruses and ransomware are prevented. And when the risk is low, a fixed Hash algorithm is used, and high performance is kept. According to the mechanism, data security is effectively guaranteed, resource use is optimized, and security and system performance are balanced.

The invention relates to the technical field of network security and edge computing, in particular to a trusted asymmetric encryption communication protocol of an edge computing gateway driven by a certificate chain, which comprises the following steps of: generating node characteristic data based on edge node hardware characteristics, generating dynamic certificate chain data through edge node cooperation, and recording the dynamic certificate chain data to a block chain to form global trust data; generating global random number data in combination with the dynamic certificate chain data and a chaotic mapping algorithm, and verifying the integrity of the global random number data; generating quantum initialization vector data in combination with the global random number data and the hardware noise data, and performing block encryption on the original communication data to generate block encrypted data; a secret sharing algorithm is used to distribute a dynamic session key to a highly trusted node to ensure the security of the key; and dynamically optimizing subsequent communication parameters according to a result of decrypting the communication data. According to the method, the security, robustness and adaptability of data transmission in an edge computing scene are improved by introducing a dynamic certificate chain, a chaotic mapping algorithm, block encryption and a feedback optimization mechanism.

The invention discloses a file transmission protection method, system and device based on multiple encryption algorithms, and relates to the technical field of information, and the method comprises the steps: selecting a target file needing to be transmitted, carrying out the preprocessing, and generating file fragments; analyzing the sensitivity of each file fragment, and performing hierarchical encryption processing to obtain an encrypted fragment set; selecting a steganography carrier file, and embedding the encrypted fragments into the carrier file to generate a steganography index table; generating a dynamic session key based on the confusion key pool, encrypting the steganographic file transmission layer and embedding a dynamic key generation parameter; the receiving end generates a session key according to the transmission message header, decrypts the transmission layer data, extracts the steganographic file and decrypts the steganographic file; recombining the decrypted and recovered fragmented data into a complete file according to an identifier sequence; by dynamically matching the steganography carrier file, the efficient embedding of the fragmented data and the generation of the steganography index table are realized, and the concealment and the adaptability in the transmission process are ensured.

The invention provides a console game data security storage method and device and computer equipment, and aims to improve the security and reliability of data storage. Firstly, stand-alone game data to be stored are obtained and divided into a plurality of data blocks; and performing encryption processing on each data block to obtain a corresponding encrypted data block. Next, a pseudo-random sequence is generated. And storing the encrypted data blocks in a plurality of preset storage positions in a scattered manner according to the pseudo-random sequence. Then, binding the seed value of the pseudo-random sequence with the biological characteristic information of the user to generate a bound seed value, and encrypting the bound seed value to obtain an encrypted seed value; and finally, storing the encrypted seed value in a preset secure storage area. By combining the technologies of data blocking, encryption, pseudorandom sequence and biological feature binding and the like, the safety of the console game data is remarkably improved, and the data is prevented from being accessed and tampered without authorization.

The invention relates to the technical field of electric power data acquisition with an encryption function, and discloses an electric power data acquisition terminal with an encryption function and a method. By combining the environment data and the equipment state, the encryption process enhances the security and adaptability of data encryption. Environment and equipment data input ensures that encryption results are different, and potential safety hazards caused by static data sources are avoided. The data are reasonably combined through a seed generation formula, it is ensured that the seeds have enough randomness, and the brute force cracking risk is reduced. The key generation strategy generates a unique key through a seed, so that the attack resistance of the system is improved. The key matrix and random number generation strategy improves the unpredictability of the encryption algorithm. And dynamically updating the encryption matrix to prevent the encryption matrix from being cracked in long-term use. In the whole process, comprehensive protection of the data in acquisition, encryption and transmission is ensured, and the data is effectively prevented from being tampered or stolen.

The invention discloses an image encryption method and device based on a neural network chaotic system, and relates to the field of image processing, and the method comprises the steps: carrying out the preprocessing of a to-be-encrypted image matrix, and generating a plaintext image in a square matrix form; associating the plaintext image with an external key to generate three groups of initial values of the neural network chaotic system; respectively inputting the three groups of initial values into a neural network chaotic system to generate three groups of target chaotic sequences; generating a unique scrambling matrix of each element in each row and each column according to the first group of target chaos sequences; generating two diffusion matrixes according to the second group of target chaos sequences and the third group of target chaos sequences; performing row scrambling on the plaintext image according to the row index of the scrambling matrix to obtain a row scrambling matrix; and performing column scrambling synchronous diffusion on the row scrambling matrix according to the column index of the scrambling matrix and the two diffusion matrixes to obtain a ciphertext image. According to the invention, the security and the anti-attack capability of the encryption process can be improved.

The invention discloses an encryption method and device for industrial internet data exchange, equipment and a medium, and relates to the technical field of industrial information security, and the encryption method comprises the following steps: generating a pair of public key and private key for industrial equipment or nodes preliminarily participating in data exchange by using an elliptic curve ECDH protocol, and carrying out initialized key exchange; generating a temporary additional key, and calculating a temporary session key; encrypting the temporary session key by using a public key of a receiver to obtain a session key, and processing data according to different stages of data exchange; and when each session ends or a preset time / data volume threshold is reached, automatically discarding the old key and renewedly negotiating a new session key. According to the method, resource consumption in the key exchange process is reduced, potential safety hazards possibly caused by key reuse or long-term key fixation are reduced, the attack resistance of the data exchange process is improved, the confidentiality and integrity of data exchange are guaranteed, and a continuous and safe environment is constructed for data exchange of the industrial internet.

The invention relates to the technical field of computer security, in particular to an embedded software reinforcement method based on a national cryptographic algorithm. The method comprises the following steps: generating a key pair by using SM2, constructing a code dependency graph in combination with spectral clustering, and optimizing key distribution; carrying out segmented encryption by adopting SM4 symmetric encryption, and identifying sensitive code snippets; the integrity of the embedded software is monitored and responded in real time through SM3 hash check and anomaly detection; analyzing vulnerability distribution based on random forest regression by using an SM4 encryption update package and dynamically adjusting an update frequency; and encrypting an operation log through SM3, and identifying a risk trend and generating an operation report by using a variational auto-encoder. According to the invention, through a plurality of technical means such as hierarchical encryption, real-time monitoring, dynamic key management and risk prediction, an efficient, dynamic and intelligent security reinforcement scheme is provided for embedded software, and the overall security and stability of the system are improved.

The invention relates to the technical field of information security, in particular to a database tamper-proofing method and system based on a trusted computing environment, and the method comprises the steps: S1, receiving data transmitted into the database by adopting a security protocol communication TLS, carrying out the preliminary verification and cleaning of the data, generating a verification key through a trusted computing module TPM, and storing the verification key in a secure storage area of the trusted computing module; s2, loading the verified data into a feasible computing environment TEE to generate an encryption key, and storing the encryption key in an internal storage area of the feasible computing environment TEE; s3, performing integrity verification on the encrypted data in the feasible computing environment TEE; and S4, leaving the checked data from the feasible computing environment TEE through the security protocol communication TLS, and transmitting the checked data to a tamper-proof database for storage. The data processing and storage operation is executed in the trusted computing environment, the integrity and non-tampering property of the operation record are ensured by using the tampering-proof database, and the credibility and safety of the whole data processing and storage system are improved in a combined mode.

The invention discloses an intelligent electric vehicle driving state safety estimation method under network attacks, and relates to automobile intelligent safety and automatic driving. Firstly, a three-degree-of-freedom dynamic model of the intelligent electric vehicle is established, the model comprehensively considers transverse, longitudinal and yaw dynamic characteristics of the vehicle, and accurate description is provided for subsequent state estimation. And designing an attack signal and state security estimation method based on an adaptive tolerance extended Kalman filtering algorithm. According to the method, the real-time and accurate estimation of the vehicle state is realized by fusing the information of various sensors such as GPS, LiDAR, IMU and the like, and malicious data introduced due to network attack can be effectively eliminated. Meanwhile, the method also has the capability of tolerating non-ideal network environments such as sensor data packet loss and the like, and the safety and reliability of the self-driving automobile are further enhanced. The intelligent electric vehicle can still maintain accurate driving state estimation when subjected to network attack, and safe driving of the vehicle is ensured.

The invention relates to a network attack defense method and system for a distributed new energy grid-connected system, and the method comprises the steps: generating a dynamic defense strategy based on an IP address for the network abnormal flow and an attack sensing result when a new energy terminal is accessed; generating a random routing scheme based on a preset depth deterministic policy gradient; and performing dynamic defense in combination with the dynamic defense strategy and the random routing scheme. The method has the advantages that the comprehensiveness and comprehensiveness of network attack defense of the new energy grid-connected system are improved, and the network and data security of the new energy grid-connected system is guaranteed.

According to the program behavior intervention method based on the quantum state, the target program state is quantized, the quantum state is generated, synchronous monitoring of multiple program behaviors is achieved through the quantum entanglement effect, and the malicious behavior tendency of the program is detected by defining the quantum threshold function; the program quantum state is intervened by using a quantum control operator, so that the program state is adjusted and malicious behaviors are prevented; in addition, a random disturbance term is introduced to increase system complexity, and an intervention strategy is dynamically adjusted through multiple quantum state measurement and feedback, so that control parameters are optimized. According to the method, the problems of insufficient detection precision and weak defense capability when a traditional program behavior detection technology is used for processing complex program behaviors are effectively solved, the safety and the stability of the system are remarkably improved, and the detection and defense capability on complex malicious behaviors is enhanced.

The invention discloses an intelligent lockset management method and system, and relates to the technical field of intelligent locksets, and the method comprises the steps: carrying out the data preprocessing and feature extraction of first data, and obtaining a first data feature vector; distributing different opening permissions to different keys, constructing a dynamic permission management model, training the dynamic permission management model by adopting the first data feature vector, and adjusting the opening permission of the user according to the trained dynamic permission management model; carrying out encryption on keys with different permissions under different conditions by adopting improved white-box block cipher information encryption; and establishing an anomaly detection mechanism by adopting the lock state data, detecting the real-time lock data according to an anomaly detection rule, triggering an alarm mechanism according to a detection result, and recording a processing process. According to the method, the dynamic authority management model is trained, and the opening authority of the user is adjusted according to the model output result, so that fine authority management of different users is realized, and the safety and the flexibility of the system are improved.

The invention discloses a dynamic S-box generation method and test system based on a spatiotemporal chaotic system, and the method comprises the steps: constructing an iteration matrix through employing a preset m sequence, and determining a coupling object index and a disturbance symbol of each grid in an iteration process; wherein each element of the iteration matrix represents a grid; performing dynamic disturbance on the initial chaotic sequence according to the coupling object index, the disturbance symbol, the index offset and the grid coordinate to obtain a dynamic chaotic sequence; initializing the two-dimensional coupling image lattice by using a dynamic chaos sequence, and carrying out iteration to obtain an iterated coupling image lattice; removing the previous N iteration results of the coupled image lattice after iteration; and performing numerical conversion on the chaotic sequence value obtained by the (N + 1) th iteration to construct an S box. According to the S box design and test method, the safety and the attack resistance of the S box are improved, and an efficient and reliable research tool can be provided for cryptography researchers.

The invention provides a software copyright transaction and protection method and system based on a block chain, and particularly relates to the technical field of block chain application. The system allows a software supplier to submit software information of different versions, the information is stored in a distributed file system IPFS, and non-tampering storage of copyright information is achieved by indexing hash values of the information in a block chain; in addition, the system adopts an abstract syntax tree to extract a grammar structure of software codes, and copyright protection is further enhanced; the digital signature generated by the copyright information and the copyright information are recorded in a block chain node together, so that the traceability of the copyright information is ensured; when a copyright transaction is generated, the system generates a digital signature containing copyright information, writes the digital signature and transaction information into a block chain node, records each transaction of the copyright, and realizes transparent tracing of the copyright history; in addition, the system further provides a comparison method for suspected software plagiarism, a software author is allowed to upload suspected infringement software, and potential plagiarism behaviors are recognized and warned by comparing abstract syntax tree structures stored on the block chain. According to the method and the system, the efficiency and the safety of software copyright protection are improved, a reliable and transparent platform is provided for software copyright transaction, and reasonable circulation and utilization of the copyright are facilitated.

The invention relates to a self-processing method based on perception of a real world, and the method comprises the steps: carrying out the symbolization of multi-modal perception data and corresponding processing result data, which are respectively collected, in the steps of optimization training and self-processing, so as to form a word vector for training and a word vector for execution, which have natural semantics; the word vectors for training describe multi-modal sensing data and processing result data corresponding to the collected sensing data, and the word vectors for execution describe the multi-modal sensing data; further, the perception data of the multiple different modes are converted into word vectors with natural semantics, and the information amount contained in the word vectors obtained through symbolization is approximately equal to the sum of the information amount contained in the perception data of the multiple different modes and the information amount contained in the corresponding processing result data. According to the method, the optimization training complexity of the special large language model is reduced, the training efficiency and the response efficiency are improved, and the training cost and the implementation cost are reduced.

The invention discloses a digital audio watermark processing method and device, equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: receiving a watermark adding instruction, and carrying out Fourier transform on original host voice to obtain an audio signal; identifying a watermark information adding bit in the audio signal through the audio watermark model, and embedding a watermark message in the watermark information adding bit; the interfering audio signal and the audio signal carrying the watermark message are combined. Receiving the message extraction signal, and separating an interference audio signal in the combined audio signal; a watermark information adding bit in the audio signal is identified, and a watermark message is extracted from the watermark information adding bit. The invention also relates to the technical field of block chains, and the host voice is stored on a block chain network. According to the method, the watermark information adding position is automatically identified through the audio watermark model, so that the watermark information is added and extracted, the dependence on expert knowledge is remarkably reduced, and the watermark processing speed and efficiency are improved.

The invention relates to the field of message encryption, in particular to a parameter and message security encryption method and device, equipment and a storage medium. The method comprises the following steps: acquiring a plaintext message to be encrypted; adaptive filtering noise reduction is carried out on the to-be-encrypted plaintext message, and abnormal value filtering elimination is carried out, so that a filtering optimization message is obtained; carrying out parameter information identification on the filtered and optimized message, and carrying out segment-by-segment parameter encryption to obtain a plurality of message segment encryption parameters; carrying out deep semantic feature analysis on the plurality of message data segments, and then carrying out segment-by-segment key field mining so as to extract a key semantic field of each segment; semantic feature sensitivity mining is carried out on each key semantic field, sensitivity judgment is carried out, and a plurality of high-sensitivity semantic fields are extracted; and performing segment-by-segment symmetric encryption on the plurality of high-sensitivity semantic fields, performing distributed encryption storage, and constructing a distributed encryption storage framework. According to the invention, high-security message encryption is realized.

The invention relates to a mimicry defense-based MQTT protocol dynamic message format data transmission method, which comprises the following steps of: establishing connection between a client and a server, and negotiating an initial message format; dynamically switching message formats according to time, the number of messages or other conditions in the communication process; various message formats enhance the security and unpredictability of the messages according to different coding, compression or camouflage rules; meanwhile, through a dynamic and randomized message format, an attacker is difficult to replay or tamper the attack system through traffic analysis; according to the design, a dynamic message format, protocol negotiation and a security policy are combined together, a mimicry defense mechanism is provided for the MQTT, and the security and the anti-attack capability of the protocol can be remarkably enhanced; the problem that when an MQTT protocol is used in Internet of Things communication, safety, cost and efficiency are difficult to balance is solved, the safety and robustness of message transmission are improved, and therefore the attack difficulty of an attacker is increased under the condition that the influence on the transmission efficiency is minimum.

The invention provides a social engineering attack detection method based on context awareness, and aims to solve the problem that dynamically changing social engineering attacks cannot be effectively handled in the prior art. According to the method, the emotional state, the decision-making mode and the daily behavior mode of a user are continuously monitored by constructing a context awareness system, and user behaviors are analyzed and monitored in real time in combination with a personalized behavior baseline model. The system measures the deviation between the user behavior and the baseline model by using a composite function and a multi-dimensional feature fusion technology, and when an abnormal behavior is detected, the system automatically triggers security policy adjustment, such as starting multi-factor authentication or limiting high-risk operation. Experimental results show that social engineering attacks can be effectively recognized in complex and changeable attack scenes, and the detection accuracy and response speed are remarkably improved. The method can be widely applied to the field of network security, and is especially suitable for an environment requiring highly customized security protection.

The invention discloses an audio robust watermark generation method based on an embedding strength prediction network and a terminal, and the method comprises the steps: obtaining audio data, carrying out the framing and watermark embedding processing of the audio data, and generating a corresponding three-dimensional coefficient matrix; inputting the three-dimensional coefficient matrix into an embedding strength prediction network, and outputting a corresponding embedding strength factor; adjusting the embedding strength of the watermark according to the embedding strength factor, and outputting an audio frame embedded with watermark information; the invention provides a new self-adaptive audio robust watermark generation method based on an embedded strength prediction network, and the imperceptibility and robustness of a watermark algorithm are improved.

The invention relates to the technical field of communication data inspection, solves the technical problem of lack of safety in the data transmission and processing process in the traditional technology, and particularly relates to a data consistency inspection method and system for intelligent ship sailing credible decision of an inland ship. The method specifically comprises five parts: zero-trust identity verification and access control, data encryption and communication security, time synchronization and verification mechanism, redundancy check and fusion of multi-source data, and multi-ship trust degree dynamic evaluation based on a consistency check result. According to the invention, each data interaction between the ship and the shore base, between the ships and between the ship and the environment is subjected to identity verification and safety examination. And in combination with time synchronization, multi-source data fusion, redundancy check, anomaly detection and the like, the data consistency and credibility of the navigation decision are ensured, and the navigation safety of the inland ship and the anti-attack ability of the system are remarkably improved.

The invention discloses an image encryption method based on three-dimensional chaotic mapping and Josephh replacement, which comprises the following steps of: taking an image as input of a hash function to obtain a hash value, updating a secret key by using the hash value, inputting the secret key into a three-dimensional chaotic system for iteration to obtain chaotic sequences X, Y and Z, and performing rotation operation on the image according to the value of the chaotic sequence X, then wavelet transformation is carried out on each image block, and multiple Josephh permutation of dynamic step length is carried out on the matrix after multi-scale decomposition according to the value of the chaos sequence Y; dynamically generating a mean value and a variance of Gaussian noise by using the value of the chaos sequence Z, and generating the Gaussian noise; and performing dynamic cross diffusion on the image block, controlling the diffusion direction and intensity through the chaos sequence Z, and adding the generated Gaussian noise into the image block. According to the method, the encryption process is more efficient and has better security, the anti-attack capability is improved, the visual security is better, privacy and integrity are protected, and the practical value is feasible.

The invention discloses a multispectral image encryption method and device, equipment and a medium, and relates to the technical field of image encryption, and the method comprises the steps: generating a composite chaotic sequence through employing Logistic chaotic mapping and two-dimensional sine-cosine chaotic mapping, carrying out the encryption of an original multispectral image based on the composite chaotic sequence, and obtaining an encrypted multispectral image. According to the image encryption method and device, the problems that an existing image encryption algorithm adopting a single chaotic system is low in safety and poor in attack resistance are solved, and the safety and the attack resistance are improved.

The invention belongs to the technical field of Internet security, and discloses a public Internet of Things privacy protection identity authentication method and system based on a block chain, which do not depend on a centralized server, adopts a storage mechanism based on a distributed hash table to realize data storage in a chain-on-chain and chain-off mode, realizes decentralized storage and improves the security of data. Identity sources of the sensor nodes are authenticated through an intelligent contract technology under the condition that real identities are not needed; the method has unforgeability under a random oracle model, and meets the security requirements of integrity, authentication, anonymity and traceability at the same time.

The invention discloses an encryption method based on an RSA algorithm, and relates to the technical field of data encryption, and the method comprises the steps: collecting to-be-encrypted data; generating a session key of the to-be-encrypted data by adopting a symmetric block encryption algorithm RC5; encrypting the generated session key by adopting an RSA public key; encrypting the to-be-encrypted data by adopting a symmetric block encryption algorithm RC5 and the encrypted session key to generate encrypted data, dividing the to-be-encrypted data into N1 groups, and encrypting the grouped to-be-encrypted data by calling the RC5 algorithm in parallel through multiple threads; and performing confusion processing of sequentially and circularly exchanging adjacent data positions on the encrypted data to obtain the encrypted data. Aiming at the low encryption security based on an RSA algorithm in the prior art, the method comprises the following steps: collecting to-be-encrypted data, and generating a session key based on data content by using an RC5 algorithm; encrypting the session key by adopting an RSA algorithm; an RC5 algorithm is called in parallel for encryption; and block position confusion processing is carried out on the encrypted data, so that the encryption security of the RSA algorithm is improved.

The invention discloses an equipment trusted boot verification system, method and device and a chip, and belongs to the technical field of information security. The system comprises a main control chip used for reading firmware in a memory, calculating a target metric value of the firmware and sending the target metric value to a security chip; and the security chip is used for verifying the target metric value according to the reference metric value of the firmware. According to the method and the device, the firmware in the memory is read through the main control chip, the firmware does not need to be read by a security chip, various different external memories can be adapted, and the verification efficiency is improved; the main control chip calculates the target metric value of the firmware, the calculation speed is higher than that of a security chip, and the verification efficiency is further improved; besides, according to the cooperative mode of the main control chip and the security chip, the security chip does not need to read firmware from the memory in the verification process, so that a switch selection circuit between the security chip and the memory is reduced, and the overall cost is saved.

The invention relates to a data security sharing method based on an alliance chain, and belongs to the field of data security. According to the method, a decentralized alliance chain network is constructed, so that the vulnerability of a centralized architecture is eliminated. Meanwhile, a linear secret sharing LSSS and a ciphertext policy attribute encryption CP-ABE algorithm are adopted, a safe and flexible access control mechanism is provided, and complex data access policy definition and efficient permission verification are allowed. Besides, due to the introduction of interoperability of the alliance chain nodes, safe and seamless exchange of data and assets among different block chain networks is allowed, data islands are broken, and information sharing and business collaboration are promoted. Besides, an innovative consensus mechanism and a treatment strategy are designed, so that the operation efficiency of the system is improved, and the cooperation of network participants and the tamper-resistant capability of the system are enhanced. According to the invention, the communication delay is obviously reduced, and the data processing speed is improved.