1173results about "Securing communication by chaotic signals" patented technology

Examples of the disclosure provide for a scatter network device. In some examples, the scatter network device includes a non-transitory memory, at least one processor, and a key exchange application stored in the non-transitory memory. When executed by the at least one processor, the key exchange application generates a key exchange request encrypted according to a public encryption key of a first network endpoint, wherein the encrypted key exchange request is indistinguishable from uniform random noise, and transmits the key exchange request to the first network endpoint via a first communication band, wherein the scatter network device transmits authenticated messages via a second communication band.

The invention discloses a big data auxiliary key generation method and system in communication data encryption transmission, and relates to the technical field of big data analysis and processing. The dynamic entropy source processing module is used for generating a high-randomness entropy pool by combining an information entropy quantification model and adopting a Shannon entropy and minimum entropy fusion algorithm; the anti-quantum key generation module is used for generating a dynamic variable-length key seed based on an entropy pool driven post-quantum cryptographic algorithm; the hierarchical key negotiation module adopts a clustering Diffie-Hellman protocol, dynamically divides negotiation according to network topology, and precomputes and reduces the load of a core network through edge nodes; and a lightweight verification and update module. According to the method, high-entropy sources such as environmental noise, user behaviors and equipment hardware fingerprints are fused with low-entropy sources such as network messages and sensor data, and an intelligent acquisition strategy and a nonlinear decorrelation technology are combined, so that the anti-quantum dynamic entropy pool is generated, and the randomness of a secret key and the reliability of the entropy sources are improved.

The invention discloses a market supervision data security protection method and system based on a dynamic encryption strategy, and relates to the technical field of information security. The method comprises the following steps: generating an initial seed input improved four-dimensional hyperchaotic system, and generating a dynamic encryption parameter set through chaotic mapping iteration; the method comprises the following steps: carrying out adaptive fragmentation on market supervision data to be encrypted to generate a data sub-block set, carrying out dynamic S-box-based symmetric encryption on odd index sub-blocks, carrying out a chaotic stream encryption mode associated with a current dynamic sub-key on even index sub-blocks, and generating a unique quantum chaotic fingerprint for each encrypted sub-block; a searchable encryption index is jointly constructed by using a post-quantum encryption algorithm and a lattice-based encryption algorithm and is used for carrying out query operation under the condition that data is not decrypted; the encryption security, privacy protection capability and quantum computing attack resistance of the market supervision data are remarkably improved, and meanwhile, an efficient, flexible and extensible data security protection scheme is provided.

The invention relates to the technical field of data security, can be applied to business scenes of financial science and technology, medical health and the like, and discloses a data encryption method, device, equipment and medium, comprising: acquiring a real-time state vector representing a running state of a chaotic neural network processing unit, monitoring a chaotic characteristic of the real-time state vector to generate a chaotic intensity index, and comparing the chaos intensity index with a preset chaos threshold value, generating an original key based on the real-time state vector when a key updating condition is met, dynamically adjusting a weight matrix of the chaos neural network processing unit according to the chaos intensity index, and performing cryptographic processing on the original key to generate a final key. And performing encryption processing on the target data by using the final key to generate target encrypted data. According to the method, the internal state of the chaotic neural network is used as a dynamic key generation basis, so that the dependence on an external entropy source and fixed parameters is eliminated, and the security and real-time performance of a data encryption process are improved.

The invention relates to the technical field of unmanned aerial vehicles, in particular to a low-power-consumption star flash control module applied to an unmanned aerial vehicle and a dummy pilot control method. The method comprises the following steps: acquiring an original control instruction of a real flying hand, and converting the original control instruction into an encrypted pulse signal containing a dynamic key; fusing a frequency spectrum camouflage signal simulating the environment background of a dummy pilot into the encrypted pulse signal, and then transmitting the encrypted pulse signal to the dummy pilot in a self-adaptive frequency hopping mode; synchronously analyzing the dynamic key at a dummy flying hand end and stripping the frequency spectrum camouflage signal to generate a virtual control track matched with the real operation behavior characteristics; and reversely modulating an actual response signal of the unmanned aerial vehicle based on the virtual control track, so that the unmanned aerial vehicle executes an action and forms dynamic error compensation with the virtual control track. According to the invention, a real flying hand can be effectively protected from electronic reconnaissance positioning and attack of an enemy, and the concealment is improved.

The invention discloses a secret communication system of an unmanned aerial vehicle, which relates to the technical field of secret communication of the unmanned aerial vehicle and comprises a secret key generation and distributed storage unit, a dynamic secret key updating unit, a secret key destruction and tracing unit, a multi-band sensing and interference identification unit and a combined regulation and control unit. A dynamic key is generated through a chaos algorithm, and the security of the key is ensured in combination with block chain fragmentation storage and GPS binding encryption; updating the key according to the risk level, and transmitting the fragments by using an anti-quantum channel; after the communication is finished, the secret key fragments are invalidated, and anomaly detection and traceability are realized; scanning a multi-band frequency spectrum in real time, identifying an interference type and optimizing the model; and according to the interference intensity and the energy efficiency demand, dynamically switching the frequency bands, adjusting the power and enhancing the anti-interception capability. The problems that an existing unmanned aerial vehicle communication system is insufficient in safety, weak in anti-interference capacity, incomplete in key management mechanism and the like are effectively solved, and the safety, the anti-interference performance and the energy efficiency performance of unmanned aerial vehicle communication are remarkably improved.

The invention discloses a network security threat information monitoring management system and method, and relates to the technical field of computer network security, and the method comprises the steps: capturing original flow data in real time, inputting the original flow data into a dynamic cellular encryption engine, and generating an encrypted data packet carrying spatio-temporal chaos features; decrypting and restoring the encrypted data packet by using a pre-shared initial cellular state matrix, and extracting a three-dimensional threat index; and based on the three-dimensional threat index, constructing a causal topological graph reflecting a node service dependency relationship, inputting the causal topological graph into a causal reinforcement learning decision maker, simulating and calculating an expected attack suppression ratio of different defense actions through anti-fact intervention, and generating a dynamic defense strategy. According to the method, the overall protection capability of the network security is improved, and the adaptive defense capability in the case of complex and changeable threats is also remarkably enhanced.

The invention discloses a computer network security monitoring system and method. The system comprises a quantum encryption traffic acquisition module, a biological recognition feature extraction module, a block chain detection traceability analysis module and a visual management module. The quantum encryption flow collection module generates and distributes a secure quantum key through a quantum key distribution unit, encrypts a collected data packet through an encryption transmission unit, and generates a flow data segment through a flow collection subunit and a data cache statistical analysis subunit. The biological recognition feature extraction module verifies the identity of a user through a biological recognition unit, and extracts a multi-dimensional feature vector by using a feature extraction subunit. And the block chain detection traceability analysis module performs detection and traceability analysis on the abnormal traffic through the anomaly detection subunit and the traceability analysis subunit, and stores a result in the block chain storage unit. The visual management module provides visual network state display and user identity verification functions through a visual display subunit and an identity verification and access control subunit. According to the invention, quantum encryption, biological recognition and block chain technologies are combined, so that the accuracy, security and traceability of network security monitoring are improved.

The invention relates to a multi-medical image encryption method based on a three-dimensional hyperchaotic system, and belongs to the technical field of medical image encryption. According to the method, in an image preprocessing stage, dual medical images are fused through an Alpha channel to generate a to-be-encrypted matrix, an SHA-512 function is combined with RGB and an Alpha channel matrix to generate a key sequence, and a dual-key matrix and a chaotic sequence are generated through a three-dimensional hyperchaotic Logistic-Sink (3D-HCLSM) system; in the encryption stage, triple encryption operations are implemented: a parameter randomization dynamic Josephh scrambling strategy is adopted to generate a primary ciphertext, an improved zigzag bidirectional cross permutation strategy is adopted, pixel diffusion with a key matrix is carried out to obtain a secondary ciphertext, a novel bit-level scrambling strategy is carried out, and bit XOR operation with the key matrix is carried out to complete final encryption. According to the method, a dynamic Joseph traversal mechanism with random parameters is provided, an optimized zigzag replacement strategy and a novel bit-level processing technology are combined, and the attack resistance and safety of medical image encryption are remarkably improved through the synergistic effect of multi-level chaos secret keys.

The invention discloses a signal transmission method and device based on joint index modulation, and belongs to the technical field of communication. Through the joint index modulation rule, accompanying transmission of the secret key of the multi-layer encrypted chaotic system is achieved, the rule has a certain constellation forming effect on a constellation diagram, and by optimizing the dual-mode index rule and the subcarrier index rule, optimized distribution of internal constellation points is achieved, and the transmission performance of signals is improved; in addition, only a legal receiving end can extract a correct key through a joint index rule for decryption and demodulation, and an illegal receiving end cannot realize correct demodulation due to the effect of multi-layer encryption and the loss of the key, so that high-safety and high-performance transmission of the key and the signal is ensured.

The invention relates to the technical field of short video encryption, and discloses a short video active defense encryption system based on a device fingerprint and a dynamic confusion field, and the key point of the technical scheme is that the system comprises a device fingerprint generation module, a mother video encryption module, a slice encryption module, a behavior recognition and defense module and an encryption logic update regulation and control module. The system generates a unique device fingerprint hash value through a multi-modal feature, generates a dynamic confusion field in combination with a chaotic system and a quantum random number, realizes differential encryption of a mother video and slices, and is embedded with zero-knowledge consanguinity proof to support traceability verification. The behavior recognition and defense module monitors user behaviors in real time and dynamically adjusts a confusion strategy or triggers an active defense mechanism, and the encryption logic updating regulation and control module optimizes the updating frequency according to playing data and reduces the batch crawling risk. According to the invention, the security and anti-attack capability of the short video content can be effectively improved.

The invention relates to the technical field of computer storage, and discloses a computer distributed storage encryption system. According to the invention, through quantum key segmentation and geographical binding technologies, it is ensured that a complete key cannot be reconstructed due to leakage of a single node; the dynamic topology sensing module monitors node states in real time and quickly responds to side channel attacks through a hardware fingerprint fusing mechanism; the space-time folding encryption module adopts chaotic fractal cutting and PUF noise injection, so that the same data block generates differential ciphertexts at different nodes, and global data cannot be threatened by cracking a single node; the implicit disaster recovery channel realizes anti-quantum hidden transmission and key self-repairing through photon orbital angular momentum modulation and quantum trap state embedding; the improved NTRU algorithm significantly improves the encryption efficiency and reduces the decryption error rate through chaotic parameter injection and FPGA acceleration. The system has high security, quantum computing resistance and dynamic environment adaptability, and solves the problems of key stiffness, fragmentation redundancy, security contradiction and the like in traditional distributed storage encryption.

The invention discloses an edge node heterogeneous network heterogeneous platform access management method and system, and relates to the technical field of Internet of Things. The method comprises the following steps: a monitoring platform performs reverse decoding on each piece of received access request sequence information mapped by a three-dimensional chaotic dynamic symbol so as to obtain decoded access request sequence information; generating a threat index corresponding to the edge node according to the access request sequence information; generating a sandbox adjustment strategy of the edge node according to the threat index; carrying out different treatments on the edge nodes according to a sandbox adjustment strategy; inputting the feature information of the edge nodes into the identification neural network to obtain identification information; and the monitoring platform judges whether the edge node in the preset sandbox is allowed to access according to the identification information, and if yes, the edge node is accessed. According to the method, the access request is encrypted and transmitted through three-dimensional chaotic dynamic symbol mapping, the data security is remarkably improved, and fine access control is realized in cooperation with a dynamic sandbox strategy.

The invention discloses an image encryption system and method in an intelligent power grid environment, and aims to solve the problem that an encryption strategy is static and lacks self-adaptive capability in the prior art. The image encryption system comprises terminal equipment, edge equipment and central equipment, and a dynamic key generation unit on the terminal equipment generates a dynamic key by cooperatively utilizing a physical unclonable feature (PUF) of the equipment and a real-time load of a power grid; the hierarchical encryption unit performs encryption of different intensities based on image content complexity. A topology sensing transmission module of the system analyzes power grid topology by using a graph neural network (GNN) and dynamically optimizes transmission. In addition, the image encryption system further integrates low-density parity check code encoding and decoding and a self-adaptive decryption strategy so as to enhance the anti-interference capability. According to the invention, by constructing a sensing, decision-making and execution integrated adaptive security system, the security, high efficiency and robustness of smart grid image data transmission are significantly improved.

The invention discloses an aircraft control method and device based on switching chaotic system encryption and a medium, and relates to the field of data encryption, and the method comprises the steps: injecting plaintext data corresponding to measurement data sent by a sensitive device into an output equation of a chaotic system, and obtaining corresponding ciphertext data; obtaining a corresponding switching signal according to the chaotic system state variable of the basic judgment model, and switching the currently activated second chaotic system according to the switching signal; sending the ciphertext data to a control component to obtain plaintext data corresponding to the measurement data; and performing flight control on the aircraft. The characteristic that a chaotic nonlinear system is extremely sensitive to an initial value is utilized, and an encryption algorithm based on a switching chaotic system is designed and used for unmanned aerial vehicle control. According to a designed switching strategy, a switching encryption chaotic system is introduced into an encryption algorithm, so that a key stream is more random, and the security of aircraft measurement data encryption is improved.

The invention provides a network security monitoring method and system based on distributed nodes, and the method comprises the steps: obtaining an inter-node interaction record of each node in a distributed network in a preset communication period and the identification information in a protocol interaction process, and obtaining a node communication data set; the method comprises the following steps: constructing a multi-dimensional phase space reconstruction matrix containing communication time sequence association features and protocol identifier association features, carrying out nonlinear dynamic feature analysis on the matrix, extracting a chaotic feature value set of node communication behaviors, constructing a topological association structure of node communication features through a local linear relationship, mapping the set to a topological space of a preset dimension, and constructing a topological structure of the node communication behaviors. And generating an attack mode topology expression vector, and finally analyzing an abnormal state propagation process in the distributed network through an inter-node energy propagation rule based on the attack mode topology expression vector to obtain a network security detection result. According to the invention, the accuracy and dynamic analysis capability of distributed network security monitoring can be effectively improved.

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 memristor neural network circuit for generating a multi-direction multi-double-scroll chaotic attractor, which comprises a first integral channel circuit, a second integral channel circuit, a third integral channel circuit, a first memristor, a second memristor, a third memristor, a first switch, a second switch and a third switch, and is characterized in that the first integral channel circuit comprises three input ends and one output end; the second integral channel circuit comprises three input ends and one output end; the third integral channel circuit comprises two input ends and one output end. The memristive neural network circuit can generate a multi-direction multi-scroll chaotic attractor by controlling the on-off state of the memristive channels connected with the input ends of the integral channel circuits, and the circuit has a discharge characteristic closer to an interactive neuron in a real nervous system; the method can provide new possibility for physically constructing an intelligent neuromorphic system, and has important value in the fields of chaotic secret communication, image encryption, complex signal processing and the like.

The invention relates to the technical field of data security, can be applied to business scenes of financial science and technology, medical health and the like, and discloses an encryption processing method, device, equipment and medium based on chaos parameter adjusting.The encryption processing method comprises the steps that a composite chaos signal is generated based on a chaos module, and feedback information is dynamically extracted in combination with a hash function; an error vector is constructed, chaotic module parameters are adjusted, an updated composite chaotic signal is generated, a key stream is generated through quantization, the data block size is determined according to the amplitude of the error vector, block encryption target data is driven through the key stream, and dynamic cooperation of the key stream and the data encryption process is achieved. According to the method, a chaos module, a hash function and a dynamic adjustment mechanism are closely combined, real-time hash value feedback control over dynamic evolution of chaos parameters is achieved, error driving adjustment is introduced in the key stream generation process, the continuity and randomness of key stream entropy values are improved, and the key stream generation efficiency is improved. The problem of low efficiency of hash static application and encryption processing in the prior art is effectively solved.

The invention discloses a coding method and device based on power domain chaotic distribution matching. The method comprises the following steps: acquiring a key initial value and to-be-sent original data; performing chaotic encryption on the key initial value through a Chua's chaotic system to generate a chaotic sequence; carrying out system conversion on the key initial value, and carrying out mapping processing according to a rule to obtain a key stream formed by a QPSK constellation diagram; performing encryption and serial-to-parallel conversion on original data in a binary form by using the chaos sequence, and then performing quadrature phase shift keying (QPSK) mapping to obtain an information stream formed by uniformly distributed QPSK constellation diagrams; respectively carrying out power distribution on the key stream and the information stream, and carrying out constellation diagram superposition on the key stream and the information stream after power distribution to form an encrypted stream of a non-uniformly distributed 16 QAM constellation diagram; and performing translation rotation on each region of the partitioned constellation diagram of the encrypted stream according to a rule, and finally realizing probabilistic shaping to obtain the PS-16QAM constellation diagram encrypted stream. The method can improve the quality of signal transmission.

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 embodiment of the invention provides an image encryption method and device, communication equipment and a storage medium. The method comprises the following steps: acquiring a target chaotic sequence matrix and the size of a to-be-encrypted image; performing pixel value extraction on the to-be-encrypted image to obtain a pixel matrix of the to-be-encrypted image; any target chaotic sequence matrix is used as a transformation matrix, and each pixel value in the pixel matrix is transformed according to the transformation matrix to obtain an initial ciphertext image; and taking the target chaotic sequence matrixes except the at least two first target chaotic sequence matrixes as scrambling matrixes, and performing position scrambling on pixels in the initial ciphertext image according to the at least two scrambling matrixes to obtain an encrypted image. According to the invention, the target chaotic sequence matrix is generated through the Lorentz chaotic system, the pixel value of the to-be-encrypted image is converted based on the target chaotic sequence matrix, the position of the pixel is scrambled, and the problems of low security and low efficiency of image encryption are solved.

The invention discloses an intelligent abnormity early warning system for an industrial Internet of Things edge node, which comprises an edge sensing layer, an edge intelligent layer and a cloud edge collaboration layer, and is characterized in that the edge sensing layer is used for data acquisition and security preprocessing; the edge intelligent layer is used for intelligently analyzing the data transmitted by the edge sensing layer and constructing a dynamic space-time diagram neural network model and a dynamic edge knowledge graph; a digital twinning threshold engine is set, when the digital twinning threshold engine detects abnormity, reverse reasoning is carried out along the knowledge graph, and self-adaptive early warning is carried out; and the cloud edge collaboration layer is used for carrying out collaboration processing on early warning triggered by the digital twin threshold engine. According to the invention, the spatial-temporal features of the equipment group are learned through the set dynamic spatial-temporal diagram neural network; the digital twin threshold engine generates a dynamic threshold based on physical simulation and adapts to environment and load changes; the edge layer realizes lightweight real-time analysis; and a full-link embedded chaotic encryption and national cipher SM4 algorithm is adopted.

The invention discloses a virtual power plant terminal-oriented encryption transmission and self-healing control cooperative system, which comprises a dynamic encryption module, a hierarchical encryption system is constructed on the basis of a quantum chaos sequence and a national secret SM9 algorithm, a dynamic session key is generated in real time through an edge node, and terminal power data is subjected to hierarchical encryption; the self-healing control module integrates a block chain distributed account book and a deep reinforcement learning model, constructs a health degree portrait of the terminal equipment in real time, monitors a link state through a topology sensing algorithm, predicts a fault propagation path, and triggers communication link reconstruction and computing resource elastic scheduling for self-healing; the collaborative optimization module constructs an optimization objective function, balances encryption strength and self-healing efficiency, adopts a quantum topology photonic crystal optimization algorithm to determine a weight coefficient in the optimization objective function, and realizes global optimal matching of an encryption-self-healing strategy; and the edge computing node performs terminal-edge cloud cooperative training according to the global optimal matching strategy of the encryption-self-healing strategy.

The invention discloses a chaotic block encryption method and system based on model random selection, and a medium, belongs to the technical field of information security, and is used for solving the problems that an existing chaotic encryption algorithm is easy to crack and maliciously attack when being independently used, depends on internal characteristics of a nonlinear function, does not expand a secret key space, and cannot be used for encrypting a chaotic block. And the improvement of the security of the secret key is limited. The method comprises the following steps: constructing a chaotic system model library based on a preset chaotic system; the chaotic system model library comprises a plurality of chaotic subsystems; generating a secret key initial field for the original image based on binary coding; selecting a corresponding target chaotic subsystem in the chaotic system model library according to the key initial field; and encrypting the original image through the target chaos subsystem to obtain an encrypted image. The line-level image chaotic encryption algorithm is designed, and the image encryption speed is increased. And the length of the secret key is increased, the space of the secret key is expanded, and the safety of the secret key is improved.

The invention relates to the technical field of intelligent security and protection, and discloses an identity authentication method integrating AI and password technologies. According to the method, biological characteristic data are collected through a multi-mode biosensor, and the biological characteristic data are encrypted after being processed by a deep convolutional neural network. And training an identity authentication model by using a federated learning framework in combination with a differential privacy technology, and carrying out distributed verification. And generating a one-time dynamic password based on a verification result, binding the one-time dynamic password with spatio-temporal characteristics of user behaviors to construct a matrix, and controlling the access authority by adopting an attribute-based encryption algorithm. The system is also provided with an abnormal behavior detection model, a dynamic identity label updating mechanism, a secret key updating strategy and a multi-factor authentication decision engine. The method improves the security and accuracy of identity authentication, realizes fine authority management, and is suitable for the field of intelligent security and protection.

The invention discloses a heterogeneous atlas-based network attack path prediction method and device and a medium, and relates to the technical field of network security, and the method comprises the following steps: collecting multi-source heterogeneous data, extracting basic entities and relationships to generate structured data, defining nodes and relationship types by using a TPP framework, and generating a real-time heterogeneous atlas by using a dynamic update mechanism; based on the real-time dynamic heterogeneous atlas and the multi-source heterogeneous data, generating an attack association feature matrix, extracting potential threat features through feature fusion, mining attack association paths, and generating an attack path candidate set; constructing a quantum field game model based on the attack path candidate set, generating an evasion path set in combination with a quantum tunneling effect, quickly adapting to attacks through dual variational optimization, and generating a final attack path prediction result and a confidence score; according to the method, the game confrontation model is constructed through the attack path candidate set, and the optimal defense strategy can be quickly found in the face of continuously changing attack modes.

The invention discloses a stable transmission method for server data encryption and rapid authentication, and belongs to the technical field of data security. The method comprises the following steps: dividing data into three levels of core sensitive data, important data and common data by utilizing a semantic analysis model; performing encryption protection on different levels of data by adopting a hierarchical encryption strategy; a master key is generated based on a chaotic system, a session key is generated in combination with a timestamp and a device fingerprint and is regularly alternated, and secure distribution is performed through a trusted execution environment and a block chain; multi-modal features are fused, the identity is verified through zero-knowledge proof, and the authentication strength is adjusted through dynamic risk assessment. The method is suitable for cloud computing, the Internet of Things and a distributed storage system, through deep fusion of a multi-level hybrid encryption algorithm, a dynamic key management mechanism and a self-adaptive authentication strategy, data security encryption, rapid authentication and stable transmission are achieved, and security, efficiency and adaptability are improved.

The invention discloses a QR code encryption and decryption method and system based on a chaos theory and an AES algorithm, and relates to the technical field of QR code encryption and decryption, and the method comprises an encryption process and a decryption process. The encryption process comprises the following steps: firstly, performing XOR on chaotic sequences respectively generated by improved Logistic mapping and Chebyshev mapping to obtain a composite chaotic sequence, taking the composite chaotic sequence as an initial key of AES grouping, and further obtaining a ciphertext through AES encryption. Grouping initial secret keys are dynamically generated, newly generated secret keys are adopted for encrypting each group of plaintext data, and the secret keys are completely independent, so that one secret key at a time is realized. And then improving an AES algorithm, firstly encrypting plaintext information, then performing Base64 secondary encryption, and performing QR code standard coding on final ciphertext information to generate an encrypted QR code. According to the method, the encryption processing mode is added, so that the problem of information leakage or information tampering caused by the QR code is effectively reduced.

The invention discloses a hybrid encryption and decryption method based on a chaotic system and an optical key, and the encryption method comprises the steps: generating a chaotic key through the initial information of a to-be-encrypted object and an initial key, and generating a chaotic sequence for the chaotic key through employing a five-dimensional Hamiltonian conservative chaotic system (FHCCS); scrambling and grouping the initial information according to the chaotic sequence, and selecting a corresponding diffraction distance as an optical key; generating a computer-generated hologram by adopting a layered angular spectrum method according to the diffraction distance; encrypting the computer-generated hologram by adopting the chaos sequence to obtain an optical password book; and encrypting a ciphertext of the optical password book by using the chaotic sequence to obtain a ciphertext of a final encrypted object. According to the method, an encryption mode of combining the optical key and the chaotic key is adopted, and the optical password book inherits the advantages of efficient information storage, high decryption speed, high parallelism and the like of optical encryption, and has the advantages of high shear resistance, high security and the like which are not possessed by a traditional password book.