327 results about "Encryption system" patented technology

The embodiments disclose a cryptographically governed system for contextual memory management in artificial intelligence including a Contextual Orchestration and Scoped Memory Protocol (COSMP) and a Decentralized Memory Wallet (DMW), which enforce secure, auditable, and policy-driven access to AI memory. Traditional token-based memory tracking is replaced by memory capsules secure data units with embedded access policies and tamper-evident logs 5400 organized via a distributed ledger. Access control is managed through decentralized identifiers (DIDs) and private cryptographic keys, ensuring that all memory interactions are signed, verifiable transactions. This architecture establishes a universal trust layer for AI, enabling post-hoc compliance checks and privacy-preserving audits. Applicable across domains such as national security, healthcare, and autonomous systems, the invention enforces rigorous behavioral constraints and access governance within AI memory and decision-making processes.

The invention relates to a distributed data security storage and encryption system based on an AI technology. The system comprises a data acquisition and preprocessing layer used for acquiring original data and preprocessing the original data to obtain an identifiable data object; the AI identification and strategy decision layer is used for identifying data features of identifiable data objects based on an interpretable AI model to obtain an encrypted instruction packet; the encryption execution and distributed storage layer is used for performing encryption storage processing on the original data content according to an encryption instruction packet to obtain data access interface information; and the dynamic access control layer is used for obtaining user information in response to a data access request instruction of a user, recombining and decrypting the data by using the data distribution mapping index based on the access control strategy table, and returning a plaintext data fragment. By adopting the system, a high-strength, differentiated and multi-level security mechanism can be realized through the AI, intelligent encryption strategy decision is carried out, and the security requirements of multiple scenes and multiple types of data are met.

The invention discloses an equipment identity authentication and data encryption method and related equipment thereof, and the comprehensive effects of identity credibility, key security superposition and channel encryption capability enhancement are realized by introducing a mixed key system and a double digital signature mechanism into an equipment identity authentication and data encryption process. Meanwhile, a national cryptographic algorithm and a post-quantum algorithm are adopted, and the two cryptographic systems cooperate in parallel in an authentication and encryption link, so that the whole system has a robust anti-attack ability in both a traditional computing environment and a potential quantum computing environment, the accuracy of identity authentication is ensured by a dual signature mechanism, and the counterfeiting difficulty and tampering detection ability are remarkably improved. According to the method, the bidirectional verification chain is constructed in the authentication process, the safety is guaranteed by using the mixed key in the session stage, the safety robustness and the expandability of the system are improved through multi-layer protection, and the whole-process protection of the identity, the key and the data is realized, so that the safety robustness and the expandability of the system are integrally improved.

The invention belongs to the technical field of network security, and particularly relates to a network security protection system and method based on an electric power emergency communication environment, and the system comprises a quantum-classical hybrid encryption system which is used for generating a dynamic key in real time; the biological characteristic driven dynamic trust ring is used for equipment identity authentication; the unmanned aerial vehicle relay network protocol is used for data transmission; the secret key after-reading burn-down protocol is used for information secret key after-reading burn-down; a key output by the quantum-classical hybrid encryption system is used for authentication encryption of a biological characteristic driven dynamic trust ring, an unmanned aerial vehicle relay network protocol transmits data encrypted by the quantum key, and a key burn-down protocol is used for reading encrypted data to trigger a key burn-down mechanism. According to the method, the key security is improved, the network attack difficulty is increased, the communication delay in a disaster is reduced, man-in-the-middle capture and attack can be immunized, and the problem of contradiction between the encryption strength and the real-time performance is solved.

Due to the appearance of dynamic structured mathematics responded by a global coupling structure, a great threat is generated to a traditional password system represented by AES-256 and information security. Most of current mainstream symmetric cryptographic systems such as AES and post-quantum encryption candidate schemes are based on discrete key space and structure modeling operation, the security of the current mainstream symmetric cryptographic systems depends on exhaustion infeasibility or mathematical difficulty complexity, and the current mainstream symmetric cryptographic systems and post-quantum encryption candidate schemes are difficult to resist attacks of adaptive dynamic coupling such as ADC. Therefore, the invention provides a novel ARE encryption system which is constructed by taking'non-modeling property 'as a core principle. A system key is generated by a non-numerable dimension perturbation function, has unique attributes of no structure, non-derivation, non-periodicity and the like, and is combined with an encryption method of a key function which cannot be covered, physical noise perturbation and a quantum random source to construct a new generation of ARE password architecture; the method has the capability of being incapable of being deduced, reduced in order, incapable of being converged to a key space and extremely high in structural modeling attack resistance, any analyzable optimization path can be blocked from the source, and it is ensured that ADC evolution attacks are completely resisted.

A system and method for optimizing data compression and encryption using reinforcement learning. The system analyzes incoming data streams to extract statistical features and data characteristics, which are processed by a reinforcement learning engine to automatically configure a multi-stage compression pipeline. Each compression stage transforms data into optimized distributions, applies Huffman coding, and maintains full encryption using homomorphic operations. A performance monitor tracks compression efficiency, processing speed, and output quality in real-time, providing feedback to continuously improve the reinforcement learning model's decisions. The system can dynamically adjust between one to five compression stages and select appropriate compression methods, including traditional algorithms or neural network-based approaches, based on data characteristics and performance requirements. All processing occurs on encrypted data without requiring decryption, ensuring complete data security throughout the pipeline. The adaptive nature of the system enables optimal compression performance across diverse data types while maintaining encryption integrity.

The invention discloses a mobile payment encryption system based on a data random algorithm, and the system comprises a collection module which is used for collecting multi-modal data, and constructing a cross-modal entropy source pool; the random seed generation module is used for extracting feature vectors from the cross-modal entropy source pool and generating initial random seeds; the time sequence self-adaptive random chain module is used for generating a random factor sequence based on the initial random seed recursion and forming a random chain structure; the encryption module is used for jointly encoding the random factor sequence and transaction data to be encrypted, generating a dynamic encryption parameter set and encrypting the transaction data; and the chain type updating module is used for collecting network environment parameters, updating the time sequence self-adaptive random chain and generating a new dynamic encryption parameter set so as to form a chain type evolved encrypted data sequence. According to the method, the cross-modal entropy source and the time sequence random chain are utilized to realize dynamic encryption of the mobile payment data, and the method has the advantages of high entropy randomness, strong attack resistance and high transmission security.

A collaborative transformation matrix learning system extends adaptive compression and encryption architectures through federated, privacy-preserving optimization. Each node analyzes local data distributions to generate anonymized distribution profiles using differential-privacy mechanisms, securely exchanging profiles and validated transformation matrices across a collaborative network. A trust and validation engine verifies mathematical properties and evaluates claimed performance metrics. Validated matrices are integrated into local optimization when trust and performance thresholds are satisfied. The system employs secure multi-party computation, homomorphic encryption, and conflict-resolution logic to ensure integrity of shared insights while preventing exposure of sensitive information. By combining collective learning with local adaptation, the invention accelerates convergence to optimal matrix configurations, mitigates cold-start inefficiencies, and improves compression-encryption efficiency and cryptographic strength across distributed deployments.

According to the safety coprocessor hybrid encryption method based on the SM2 / 3 / 4 domestic cryptographic algorithm, a novel hybrid encryption system based on the SM2 / 3 / 4 and considering encryption safety, efficiency and key management convenience is constructed on the basis of the characteristics of the SM2 algorithm, the SM3 algorithm and the SM4 algorithm, and the encryption / decryption and signature / verification process is achieved. And aiming at the efficiency problem of a domestic SM algorithm, an encryption / decryption and signature / verification scheme is designed and realized through pure software analysis and software and hardware (SW / HW) collaboration, so that optimal division of software and hardware is realized, and the algorithm efficiency is greatly improved.

The invention discloses a dynamic hierarchical encryption system for multi-tenant e-commerce data, and relates to the technical field of multi-tenant data security, the system comprises an encryption management center, the encryption management center is in communication connection with the following modules: a data sensing and grading module, which is used for collecting multi-source context data of an e-commerce platform, and sending the multi-source context data to the encryption management center; performing basic sensitivity level division on the context data; and the multi-tenant knowledge graph construction module is used for constructing a multi-tenant knowledge graph based on the tenant-data-authority association network in combination with the multi-source context data. According to the method, dynamic self-adaptive adjustment of encryption strength is realized through cooperation of the fruit fly algorithm and the knowledge graph, the system dynamically optimizes combination of key length and the encryption algorithm based on data grading labels and real-time context data, and the fruit fly algorithm searches an optimal solution through iteration, so that the system has high encryption efficiency while ensuring compliance. And encryption delay is controlled within a real-time requirement range, so that the user experience in a multi-tenant scene is remarkably improved.

A plaintext division unit divides a plaintext into a first plaintext and a second plaintext at a predetermined ratio. A first encryption unit acquires a first ciphertext by an encryption function by using a mask value obtained based on a first value and a plurality of plaintext blocks, respectively. A second encryption unit acquires a second ciphertext by using, among encryption results output from the encryption function in the encryption of the first plaintext, a value other than a value used for the encryption of the first plaintext and a second plaintext. An authentication tag generation unit generates a first tag. The authentication tag generation unit generates a second tag. The authentication tag generation unit generates an authentication tag.

The invention discloses a multi-level life cycle management and dynamic drift elimination algorithm for an iris template, and relates to the technical field of biological feature recognition and information security. A three-layer hierarchical storage architecture of a module layer, an edge layer and a cloud layer is constructed, and a dual-index decision-making mechanism of drift accumulation monitoring and activeness assessment is combined, so that the multi-level life cycle management and dynamic drift elimination algorithm for the iris template is realized. The intelligent life cycle management of the iris template is realized, a differential chain synchronization technology and a hierarchical key pool encryption system are adopted, the access performance and the storage cost are optimized while the data security is guaranteed, and a dynamic elimination algorithm processes the life cycle of the iris template through a self-destruction countdown mechanism according to the user activeness difference, so that the safety of the iris template is improved. The method effectively solves the limitation of a traditional fixed expiration strategy, achieves the remarkable improvement in the aspects of recognition accuracy, response speed and safety protection, and is particularly suitable for application scenes with extremely high requirements for real-time performance and safety.

The invention relates to the technical field of data encryption, in particular to a VPN dynamic hierarchical encryption system and method for cross-border data transmission, and the method comprises the steps: dividing a data flow into different hierarchies based on information entropy; the high-entropy core data is embedded in a steganography mode through a chaos algorithm by means of the low-entropy redundant space; carrying out global basic encryption on the mixed carrier, and respectively executing chaotic scrambling and differential iterative diffusion for the steganography region and the middle entropy region; dynamically injecting a filling block according to entropy feedback to realize flow homogenization shaping; and splitting the deconstructed index through threshold secret sharing, and performing hidden distribution. According to the method provided by the invention, the concealment and security of cross-border data transmission can be effectively improved.

The invention discloses an internet-of-things communication encryption system for CPU card management, and relates to the technical field of internet-of-things encryption, the internet-of-things communication encryption system comprises an initialization module, a card issuing module, a card reading module and a platform end, a distributed key library is constructed, and according to an authority control mechanism of an alliance chain of the distributed key library, the card issuing module and the card reading module are encrypted. The platform secret key, the manufacturer secret key, the tenant secret key and the project secret key are stored in an isolated mode and are only authorized to be used by the corresponding platform, the manufacturer, the tenant and the project, and under the condition that permission of the opposite side is not obtained, the secret keys cannot be called in an unauthorized mode. The design of segmented keys is adopted, so that a platform, a manufacturer, a tenant and a project respectively hold independent key segments, the problem caused by leakage of a single key is reduced to the minimum, even if an attacker gets one key, the attacker cannot read data of a CPU card, and the data of the CPU card cannot be read by the attacker. Even if an attacker cracks the platform key, the attacker cannot communicate with the initialization device, the card issuing device and the card reading device.

The present disclosure provides a method for selectively encrypting and decrypting portions of a document. The method includes receiving a document containing plaintext, analyzing the document using an artificial intelligence system to identify portions containing sensitive information, assigning predefined security levels or attributes to the identified portions, sending an encrypt file content request to a cryptographic engine, receiving an encrypted file content response, building an encrypted document by replacing portions with masking symbols and storing encrypted portions as metadata, and sending the encrypted document to a client device. The artificial intelligence system uses machine learning models trained on domain-specific data and employs pattern recognition and contextual analysis to identify sensitive content based on semantic understanding and classification rules.

The invention discloses an anti-leakage encryption system and method based on power grid data, and relates to the technical field of power grid data security encryption, and the method comprises the steps: dividing encryption levels according to power grid data sensitivity levels, and matching algorithms; during service operation, generating a dynamic key seed based on a real-time scene, and binding the dynamic key seed with data transfer node information to generate an initial dynamic key; user permission change is monitored, and the secret key is automatically updated according to the newest role and node information when conditions are met; encrypting each level of data by adopting a corresponding algorithm and a dynamic key to form a ciphertext; and performing permission verification during access, and decrypting the ciphertext by using the corresponding key and algorithm according to the authorized decryption hierarchy. According to the method, the real-time linkage of encryption protection, the data flow state and the user permission change is realized, so that a security mechanism can dynamically adapt to the service scene change, and the active defense capability of power grid data leakage prevention and the immediate effectiveness of permission control are enhanced.

Low latency, over-the-top (OTT), and / or adaptive bitrate (ABR) content streaming is provided. Content delivery is enhanced by determining if a fragment of a content segment at a content delivery network (CDN) edge node meets a threshold for preferential encapsulation and transport. If met, preferential encapsulation and transport to the client device is provided; otherwise, it defaults to non-preferential encapsulation. The size of the fragment is quantified at a parser of the CDN edge node or an ABR segment encryption system. The ABR system may be connected between a content source and a CDN origin and may include an encryptor that sends CMAF video and audio segment's fragment byte offsets metadata. Also, the CDN edge node may include the ABR system and an encryptor that sends an encrypted CMAF segment's fragment size to a threshold calculator of an HTTP server. Related apparatuses, devices, techniques, and articles are also described.

Disclosed is a selective encryption system that selectively encrypts sensitive image data within frames of a video stream and compresses other insensitive image data within the frames in order to generate and distribute a partially encrypted video stream that protects the sensitive image data without the time, energy, resource, and size penalty associated with encrypting all image data in all frames of the video stream. The system parses a video stream image into different regions that each contain different image data. The system detects first regions that contain the sensitive image data, encrypts the sensitive image data in the first regions, and compresses the image data in other second regions without encryption. The system distributes a selectively encrypted frame of the video stream that includes the encrypted image data for the first regions and the compressed image data for second regions.

A functional encryption system includes a key generation device configured to generate a public key and a secret key, based on a master key and a parameter vector, an encryption device configured to generate encrypted data by encrypting an input vector, based on the public key, and a decryption device configured to generate decrypted data corresponding to an approximation value of an inner product of the parameter vector and the input vector by decrypting the encrypted data based on the secret key. Security of data used in machine learning, biometric authentication, etc. may be reinforced and attacks using quantum computers may be blocked by incurring random noise in the decrypted data based on the functional encryption using the LWE problem and the lattice problem.

The invention provides fluorescent carbon dots and fluorescent hydrogel based on solvent stimulation response discoloration and a preparation method and application of the fluorescent carbon dots and the fluorescent hydrogel, and belongs to the technical field of fluorescent materials and information encryption. The preparation method of the fluorescent carbon dots comprises the following steps: mixing a biomass carbon source and a solvent, and performing solvothermal reaction to obtain the fluorescent carbon dots, the biomass carbon source comprises one or more of buxus buxus, oriental cherry leaves, fructus forsythiae leaves and oak leaves; the solvent is ethanol. The biomass carbon dots are low in toxicity, excellent in optical stability and photobleaching resistance and high in ionic strength; the fluorescent carbon dots have double emission peaks of red light and blue light / green light, are different from single fluorescent carbon dots, and can provide more fluorescent information storage density for a fluorescent gel-based information orientation encryption system. The fluorescent color of the fluorescent hydrogel can be stably switched in an ethanol / water solvent, the gel structure is stable, the information storage capacity is improved, and a fluorescent hydrogel-based information anti-counterfeiting encryption system is promoted to develop towards multiple dimensions.

The invention discloses a quantum computing assisted cloud storage encryption system and an anti-quantum attack algorithm, which are suitable for the field of smart park security, and the system comprises a quantum key dynamic management module, a security data hierarchical encryption module, a distributed cloud edge collaborative storage module, a quantum enhanced access control module and a security situation quantum sensing module. All the modules are connected through quantum channels, encryption buses and the like, collaborative operation of key generation, data encryption, storage, access control and dynamic defense is achieved, and the algorithm comprises the steps that S1, environment parameters are collected through an environment quantum disturbance unit to generate disturbance factors; s2, a secret key is called to be combined with an AES-256 algorithm to encrypt a video stream, and a dynamic quantum tag containing a timestamp and device features is generated; s3, distributing storage nodes according to data sensitivity levels, and adjusting storage positions in real time; s4, generating a decryption sub-key with biological characteristics, and decrypting the decryption sub-key after biological and spatial dual verification; and S5, constructing an attack risk model, and dynamically adjusting key updating frequency and encryption strength.

The invention provides a quantum circuit system based on an AES cryptosystem and an encryption method. The quantum circuit system based on the AES cryptosystem comprises a byte replacement module which adopts a pre-optimized S-box query circuit to realize non-linear byte replacement; the row shift module completes in-row byte cyclic shift through quantum bit exchange operation; the column confusion module realizes a matrix multiplication circuit based on finite field operation, and a quantum circuit of the column confusion module is generated by a depth-first matrix decomposition algorithm; and the round key adding module realizes XOR operation of a round key and a state by using a CNOT gate array, and a key required by the round key adding module is dynamically generated through a key expansion circuit. And a compact Z-shaped architecture is adopted to optimize time sequence scheduling and resource allocation of each module. On the premise of keeping the quantum bit resource usage amount equivalent to that of an original Z-shaped architecture, the quantum circuit depth is remarkably reduced, and higher fidelity and shorter execution time can be realized on NISQ equipment.

The invention discloses an efficient puncturable and revocable attribute-based encryption method, which relates to the technical field of data encryption, and comprises the following steps: setting a system public key PK and a master key MSK; encrypting the plaintext message M according to the PK to obtain a first ciphertext CT; generating a user private key SK and a conversion key TK according to the PK, the MSK, the user attribute set S and the tag set T; generating a second ciphertext CT'according to the PK, the CT and a puncture tag tp in the tag set T, and cancelling the access authority of the user holding the tp; performing partial decryption on the second ciphertext CT'according to the PK and the TK to obtain a partially decrypted ciphertext CTpartly; and decrypting the plaintext message M according to the CT ', the CTpartly and the SK. The invention further discloses an efficient puncturable and revocable attribute-based encryption system which comprises a parameter setting module, an encryption module, a key generation module, a puncture module, a pre-decryption module and a decryption module. According to the method, the access strategy can be hidden, the user attribute privacy can be protected, and efficient revocation is realized under the condition of ensuring forward and backward security.

The application belongs to the technical field of image encryption and discloses a discrete fractional-order neural network chaotic image encryption system and method based on RNA dynamic transcription and DNA coding, which comprises a model construction module, a key generation module and an image encryption module; the model construction module is used for constructing a fractional-order neural network and making the encryption system in a hyperchaotic state based on the fractional-order neural network; the key generation module generates an RNA key stream through three rounds of dynamic transcription with a seed sequence as a starting point; the image encryption module encrypts an image through triple hybrid diffusion and then diffuses the image again based on the RNA key stream to obtain an encrypted image; the application realizes deep confusion and diffusion of image pixels by constructing a high-complexity fractional-order chaotic neural network and combining an RNA+DNA dual biological coding mechanism, thereby improving the security, randomness and robustness of the encryption system.

A driving assistance device mounted on a vehicle includes at least one sensor, an encryption unit, and a communication unit. The at least one sensor obtains detection information items that are categorized into predetermined categories. The encryption unit encrypts the detection information items using public keys each of which corresponds to a respective one of the predetermined categories, creates a table that indicates a correspondence between the encrypted detection information items and the corresponding predetermined categories, creates a table that indicates a correspondence between the encrypted detection information items and the corresponding predetermined categories, and encrypts the created table using a homomorphic encryption. The communication unit transmits the encrypted detection information items and the homomorphically encrypted table.

A kit for an encryption system characterized in that the kit consists of two mobile phones, a positioning device, several connecting elements, commercially available software for text, sound, image and video processing and a USB plug in which a camera, a light-sensitive photodiode, a laser diode, a microphone, a loudspeaker and a connector for fiber optic cables are arranged.

The invention provides a driving support device, a decryption device, an encryption system, an encryption processing method, and a decryption processing method. Specific classified information can be provided without complicated processing. A driving assistance device (100) mounted on a vehicle (10) is provided with: a sensor (120); an encryption unit (115) that encrypts the detection information acquired by the sensor using predetermined public keys that differ for each classification of the detection information, creates a table in which encrypted information, which is the encrypted detection information, is associated with the classification, and encrypts the detection information in an encryption method having homomorphism; and a communication unit (112) that transmits the encrypted information and the encrypted table.

The invention provides an electronic cigarette cartridge communication encryption system and method based on a high-frequency analog signal, and the method comprises the steps: applying a high-frequency sweep frequency excitation signal to a cartridge through a dual-contact path shared by communication and heating after the cartridge is inserted; acquiring a response voltage signal of the smoke cartridge, and extracting a frequency domain amplitude feature from the response voltage signal to form a feature vector representing the physical identity of the smoke cartridge; generating an authentication factor based on the feature vector, and generating a carrier frequency and a response time window parameter required by communication; constructing a high-frequency modulation signal containing phase and amplitude disturbance according to the authentication factor and the modulation parameter, and sending the high-frequency modulation signal to the smoke cartridge through the double-contact path; receiving a reflection echo signal returned by the smoke cartridge end, carrying out time domain and phase characteristic analysis on the reflection echo signal, judging whether the response time is in an expected time window or not and whether the phase structure is matched or not, and outputting an authentication result; and executing a corresponding action according to the authentication result.

The application relates to the technical field of data processing, in particular to an electronic seal encryption system, method, device, equipment and medium, which are used to improve the security of the use process of the electronic seal. In the application, the applicant equipment can encode the original electronic seal image to be encrypted based on the encoder in the autoencoder to generate a first encoding vector, and send the first encoding vector to the auditor equipment. The auditor equipment can decode the first encoding vector based on the decoder in the autoencoder to generate an encrypted electronic seal image, and send the encrypted electronic seal image to the applicant equipment for use of the encrypted electronic seal image. Based on this, the purpose of improving the security of the use process of the electronic seal can be achieved.

Systems, methods, and apparatus are provided for AI-based generation of a secure network path and corresponding encryption protocols. AI algorithms may detect network nodes for data transfer from an origin point to a destination point. The nodes may be located in different countries. Nodes may be selected based on security levels and regulatory profiles generated for each node. AI algorithms may analyze the transfer data and output encryption algorithms for generating synthetic data from the transfer data. The encryption algorithms may be mapped to the nodes based on security levels and regulatory profiles associated with the nodes. A node may receive the transfer data and apply the mapped encryption algorithm. Successive nodes may iteratively encrypt the transfer data. A data packet header may include an identifier for each encryption algorithm applied to the transfer data.