18 results about "Biometric encryption" patented technology

The invention discloses a privacy protection biological feature encryption and identification method. The method comprises the following steps: pre-training a denoising diffusion implicit model; encrypting and recovering samples in the original biological characteristic image data set by using a reverse noise adding process and a forward denoising process of the trained denoising diffusion implicit model; inputting the original image and the recovered image of the data set into a to-be-trained recognition model, and carrying out joint training; in practical application, after a client obtains a biological feature image to be recognized, the image is encrypted by using a reverse noise adding process of a trained denoising diffusion implicit model; the encrypted image is transmitted to a server, and the server recovers the image by using a forward denoising process of a denoising diffusion implicit model; inputting the recovered image into a recognition model to obtain a feature vector; and after feature comparison, an identification result is transmitted back to the client. According to the method, the efficient and accurate recognition effect can be ensured while the personal privacy is protected.

The invention provides a decentralized security access control method and system, and belongs to the technical field of security access control, and the method comprises the steps: encrypting and binding an identity through a biological feature: improving the security of identity authentication, preventing identity counterfeiting, and ensuring that only an authorized user can access the system. And the hardware binding key is bound with the equipment ID, so that the safety of the equipment is enhanced, the access of unauthorized equipment is prevented, and the access can only be carried out on specific equipment. And access permission and physical environment limitation: through permission control and environment limitation, risks of unauthorized access and data leakage are reduced, and access is ensured to be only performed in a secure environment. Decentralized data storage and anti-leakage tracking: single-point fault risk is reduced, data security is improved, a data leakage source can be tracked conveniently, and data protection is enhanced. And unauthorized access detection and data destruction: detecting and stopping unauthorized access in real time, and destroying data when necessary to prevent sensitive information leakage and ensure data security.

The invention relates to the related field of document security management, and discloses a method and a system for displaying hidden contents on a graphical user interface, which are used for realizing full-content hiding and unauthenticated display interaction of important files and objects by performing triggering and execution control on a preset scene guide program by adopting an image encryption recognition mode. Compared with a page type password or biological encryption authentication mode adopted in the prior art, the method has the advantages that the effect of completely hiding the object file can be achieved, and a specific authentication access interface does not need to be reserved for user operation and use, so that existence of the hidden file is not easily found by third-party personnel, and the file protection effect is more excellent.

Systems, methods, and apparatus are provided for adaptive, quantum-based VoIP security. A biometric voiceprint may be generated from a VoIP communication. In response to failure to authenticate the voiceprint, the sound waves associated with the voiceprint may be selectively neutralized without terminating the VoIP communication. In response to authentication of the voiceprint, a biometric key may be generated based on the voiceprint. A quantum encryption key may be generated and distributed via a quantum channel. A VoIP session key may be generated based on the biometric encryption key and the quantum encryption key and used to encrypt the VoIP communication. An ambient sound associated with the VoIP communication may be isolated. In response to failure to authenticate the ambient sound, the caller may be required to provide an additional form of authentication.

A zero trust content delivery framework secures proprietary data from autonomous AI scraping agents and link-bypassing attacks. The framework implements a multi-stage stateful handshake protocol requiring physical and computational Proof of Humanity. A verification engine analyzes human analog dynamics, including mouse jitter and device-specific accelerometer tilt, while a client-side SHA-256 Proof of Work imposes an asymmetric cryptographic tax. Content is delivered via just-in-time (JIT) memory-mapped streaming, rendered as volatile pixel data on a GPU-accelerated canvas to remove searchable text from a Document Object Model (DOM). An active counter-intelligence engine identifies bot signatures and serves shadow intelligence to degrade unauthorized training sets.

Systems, methods, and apparatus are provided for adaptive, quantum-based VoIP security. A biometric voiceprint may be generated from a VoIP communication. In response to failure to authenticate the voiceprint, the sound waves associated with the voiceprint may be selectively neutralized without terminating the VoIP communication. In response to authentication of the voiceprint, a biometric key may be generated based on the voiceprint. A quantum encryption key may be generated and distributed via a quantum channel. A VoIP session key may be generated based on the biometric encryption key and the quantum encryption key and used to encrypt the VoIP communication. An ambient sound associated with the VoIP communication may be isolated. In response to failure to authenticate the ambient sound, the caller may be required to provide an additional form of authentication.

A system and method for biometric-authenticated personal health monitor data compaction with clinical trial optimization is disclosed. The system receives biometric signals from multiple sensor modalities associated with a patient and extracts distinctive biometric features using signal processing algorithms. Patient identity verification is performed by comparing extracted features against stored biometric templates, generating cryptographic keys derived from verified biometric characteristics. Health data is divided into sourceblocks and encoded using multiple compression codebooks enhanced with biometric-derived cryptographic keys. Optimal encoded sourceblocks are selected based on compression efficiency and statistical preservation requirements. A clinical trial data optimization engine classifies health data by type and endpoint significance, determines statistical preservation requirements for regulatory compliance, and validates that compressed data maintains required statistical properties for clinical analysis. The system implements multi-modal biometric fusion, liveness detection, emergency override capabilities, and security controls including role-based access control and audit logging for secure clinical trial data management.

The invention discloses a biological feature retrieval method and device, equipment and a storage medium, and relates to the technical field of data retrieval, and the method comprises the following steps: encrypting a received retrieval request for biological features based on a preset homomorphic encryption parameter to obtain a corresponding ciphertext retrieval request; performing inner product calculation on the ciphertext retrieval request and each ciphertext template matrix to obtain a corresponding inner product calculation result; the ciphertext template matrix stores ciphertext features in advance, and the ciphertext features are ciphertext data obtained by encrypting original biological features based on preset homomorphic encryption parameters in advance; and determining a target matrix matched with the ciphertext retrieval request based on an inner product calculation result, so as to respond to the retrieval request by utilizing ciphertext features stored in the target matrix. In this way, the target matrix corresponding to the ciphertext retrieval request can be obtained according to the ciphertext template matrix and the ciphertext inner product calculation result corresponding to the ciphertext retrieval request, the ciphertext calculation efficiency can be improved, ciphertext retrieval is achieved, and the data security is improved.

The invention belongs to the technical field of Internet of Things security and biological feature encryption, and discloses a biological information encryption method based on an Internet of Things security chip, and the method comprises the steps: obtaining biological feature data of a user through a biological information collection module, and carrying out the preprocessing of normalization, denoising, enhancement and the like in an edge processor; then, depth features are extracted by using a convolutional neural network, a fixed-length ordered binary string is generated through a hash function and a replacement operation, and the fixed-length ordered binary string is stored in an edge processor database and copied to a security chip of the Internet of Things. And the Internet of Things security chip generates a random key, and generates a commitment for file encryption by XOR with the registered binary feature. In the authentication stage, preprocessing and feature extraction are repeated, an authentication binary string is generated and compared with the database, if matching succeeds, the secret key decryption file is released, and if matching fails, the process is terminated. According to the invention, an Internet of Things security chip and a biological characteristic encryption technology are combined, an efficient and safe file encryption solution is provided, and unauthorized access and data leakage are effectively prevented.

The invention discloses a data asset protection method suitable for a financial information platform, and the method comprises the steps: capturing an operation track, carrying out the dynamic control of frequency, carrying out the dynamic protection linkage, carrying out the hierarchical control of character reading, carrying out the data display, and carrying out the afterward tracing, and enabling the overall data safety and traceability of the financial data platform to be improved. A service related party is informed through a notification or mail method, response measures are prepared at the first time, and an access log is associated with a user identity and an encrypted fingerprint to generate an evidence obtaining report; the cross-modal cooperation of dynamic confusion and voiceprint encryption is combined with front-end page dynamic and biological feature encryption, the data acquisition difficulty is doubly improved, and the content and the identity of a leaked person can be synchronously traced when data is leaked by distinguishing manual and machine operations, dynamically adjusting a protection strategy and utilizing virtual identifier-voiceprint dual binding, so that the real-time security of the data is ensured. A dynamic anti-crawler strategy and a multi-mode content encryption technology are adopted, and active protection and afterward traceability tracking of financial text data and audio data are achieved.

The invention discloses a data security protection method and system based on biological feature encryption and a storage medium, and relates to the technical field of data security and privacy protection.The data security protection method comprises the steps that a complete closed loop of end-side collection, local processing and comparison is constructed, and firstly, biological features are extracted on terminal equipment through a lightweight deep learning model; the key is converted into a stable endogenous key by adopting a fuzzy extraction technology; generating an irreversible and revocable template by applying isolated salting hash, and immediately clearing original data; and finally, through local comparison and a security sharing protocol based on zero-knowledge proof, the availability and invisibility of the biological characteristic data in the identity authentication process are realized, the data leakage risk caused by traditional centralized storage is fundamentally solved, the association tracking and abuse of the biological characteristics are effectively prevented, and the safety of the identity authentication process is improved. The authentication convenience is improved, and meanwhile, user-centered security privacy protection is realized.

The embodiments of the present disclosure disclose a satellite secure communication method and system. The satellite secure communication method comprises: generating dynamic parameters of an elliptic curve equation according to satellite communication information, obtaining an initial shared key pair based on an elliptic curve algorithm, dynamic parameters and a key exchange protocol; obtaining a session-level encryption key through a multi-layer hash operation and a timestamp synchronization mechanism based on the initial shared key pair; obtaining biological feature encryption data through DNA sequence encoding and biological cryptography conversion algorithm based on the session-level encryption key; obtaining a high-dimensional chaotic encryption package through chaotic mapping disturbance and fractal geometry transformation processing based on the biological feature encryption data; obtaining a covert transmission data stream through frequency domain spread spectrum steganography and neural network decoding verification based on the high-dimensional chaotic encryption package; and dynamically updating the initial shared key pair through a key rotation strategy based on communication cycle monitoring. The method can realize high security, strong concealment and reliable protection capability of satellite communication.

The invention relates to a dynamic biological key encryption method and device, and belongs to the technical field of information security, and the dynamic biological key encryption method comprises the steps: employing an improved fuzzy extraction algorithm to carry out biological feature code extraction on biological features collected in real time so as to generate a physiological feature base key, performing feature code extraction on the corrected biological features by adopting a fuzzy extraction algorithm, performing entropy source expansion on the biological features by adopting a pseudo-random number generator to obtain a dynamic key fragment, and generating a session temporary key based on the dynamic key fragment and the physiological feature base key; according to the method, the secret key fingerprint is obtained based on the session temporary secret key and the physiological feature base secret key, after the secret key fingerprint is encrypted, the encrypted secret key fingerprint is input into the alliance chain through the smart contract, the block chain anchoring secret key is generated, dynamic biological secret key encryption is completed, and the safety of biological feature encryption is improved.

The invention discloses an edge-cloud hierarchical biological characteristic encryption method and system, and the method comprises the steps: collecting the pattern information input by a user, synchronously collecting the biological characteristics of the user, collecting the environment information of an intelligent password lock, determining the hierarchical encryption strategy of the pattern information and the biological characteristics based on the environment information, and carrying out the encryption of the pattern information and the biological characteristics. And the edge end-cloud system encrypts the pattern information and the biological characteristics based on the hierarchical encryption strategy to obtain encrypted information, verifies the encrypted information, and controls the intelligent coded lock to execute preset operation based on a verification result. The safety of the fingerprint password lock is improved by collecting biological characteristics such as smell or voiceprint of the user while the user draws the pattern password, and the biological characteristics are subjected to hierarchical encryption at the edge-cloud end based on the environment information of the fingerprint password lock, so that the safety of the fingerprint password lock is improved. The environment adaptability of the fingerprint coded lock and the safety of the biological characteristic data in the storage and transmission process are improved.

The embodiment of the invention provides a chip card-oriented multi-mode biological feature fusion identity authentication method and system. The method comprises the following steps of: acquiring multi-mode biological feature data of fingerprints, facial images and iris textures of a user in real time; generating an encrypted feature template through the multi-modal biological feature data, and transmitting the encrypted feature template to a chip card in groups; the data fusion time sequence of each modal feature is dynamically adjusted by monitoring the communication delay of the chip card and the real-time feedback of the biological feature encryption overhead; and executing multi-modal feature matching according to the adjusted time sequence, and outputting an identity authentication result. Through the scheme of the embodiment of the invention, the problem of how to regulate and control the multi-modal data fusion time sequence according to the real-time feedback of the chip card communication delay and the biological characteristic encryption overhead so as to solve the problem of authentication response timeout can be solved.

Systems and methods are directed to optimizing a security and recoverability trade-off generally associated with cryptocurrency master key storage. Exemplary embodiments provide a biometrically derived cryptographic seed using a measurement of one or more scale invariant biometric attributes associated with a user. The measured user biometric data is then processed into a repeatable biometric identifier and formatted into a (biometric) cryptographic seed, for derivation of a master extended private key, which may be stored in an HD wallet or used dynamically to conduct a blockchain transaction. The biometric seed and master key generation process may be facilitated by a mobile application responsive to a readout of biometric data from sensors integrated / associated with the mobile device. The captured biometric data may be cryptographically combined with a user-inputted password and / or an authentication data record wirelessly retrieved from an OTP card, to generate a cryptographic seed with greater security attributes.

The embodiment of the invention discloses a satellite safety communication method and system. The satellite security communication method comprises the following steps: generating dynamic parameters of an elliptic curve equation according to satellite communication information, and obtaining an initial shared key pair based on an elliptic curve algorithm, the dynamic parameters and a key exchange protocol; based on the initial shared key pair, a session-level encryption key is obtained through multilayer hash operation and a timestamp synchronization mechanism; based on the session-level encryption key, obtaining biological characteristic encryption data through DNA sequence coding and a biological cryptography conversion algorithm; based on the biological characteristic encryption data, obtaining a high-dimensional chaotic encryption packet through chaotic mapping disturbance and fractal geometric transformation processing; based on the high-dimensional chaotic encrypted packet, a hidden transmission data stream is obtained through frequency domain spread spectrum steganography and neural network decoding verification; and dynamically updating the initial shared key pair through a key rotation strategy based on communication cycle monitoring. According to the method, high safety, high concealment and reliable protection capability of satellite communication can be realized.

The invention provides a biological feature recognition and digital identity fusion authentication method and system for digital office. The method comprises the following steps: acquiring image information of biological features; generating a biological feature template based on the image information of the biological features; carrying out biological feature and digital identity fusion registration based on the biological feature template, and generating a biological feature encryption template; and performing authentication by using the biological feature encryption template and the digital identity. According to the method, the biological characteristics and the digital identity of the user are fused, the mapping binding from the physical identity to the digital identity is established, and the advantages of biological characteristic recognition and a password technology are absorbed, so that the fused identity not only has the safety and reliability of biological characteristic recognition, but also has the advantages of accuracy, randomness, revocable and the like of the digital identity; compared with an existing authentication mode, a stronger authentication means is provided for digital office, the illegal access risk can be reduced, the multi-source identity and multi-factor authentication service safety of the enterprise digital office environment is improved, and the data leakage risk is reduced.