110 results about "Key space" patented technology

The invention discloses an image encryption method and device based on a chaotic system and electronic equipment, and relates to privacy computing or other related fields, and the method comprises the steps: converting a target image into a three-channel grayscale image, and converting the three-channel grayscale image into a one-dimensional array; obtaining a first random key stream generated by the new four-dimensional chaotic system, and performing pixel value diffusion on the one-dimensional array; merging the diffused image arrays, generating a scrambling function based on chaotic tent mapping, and scrambling pixel positions of the merged arrays; obtaining a second random key stream, selecting a DNA coding rule, and coding the scrambling array into a DNA sequence; obtaining a third random key stream and selecting a DNA operation rule to perform encryption operation on the DNA sequence; and decoding the encrypted sequence into a decimal system, and combining channels to obtain a target encrypted image. Through the method and the device, the technical problem that the encryption information is easily attacked and cracked due to the fact that the sensitive data encryption method in the related technology is limited to the encryption dimension and the key space is solved.

The invention discloses a color image encryption method and device, and the method comprises the steps: obtaining a to-be-encrypted plaintext image, carrying out the extraction of global image features of the plaintext image, and generating an internal key of the plaintext image based on the global image features; a random external secret key is obtained, the external secret key and the internal secret key are sequentially and complexly mapped to a parameter space from a secret key space to obtain four groups of parameter sets used for generating a chaotic sequence, and the parameter sets comprise control parameters # imgabs0 # and initial values # imgabs1 # and # imgabs2 #; inputting the four groups of parameter sets into a preset PLS composite chaotic system to generate four groups of independent chaotic sequences # imgabs3 #; and performing encryption processing on the plaintext image based on the chaos sequence # imgabs4 # and the chaos sequence # imgabs5 # to obtain a semi-encrypted image. According to the method and the device, the security and the encryption efficiency are improved.

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.

The invention discloses an image encryption method and system based on a chaotic system, and relates to the technical field of image processing, and the method comprises the steps that the chaotic system is constructed by a cellular automaton and tent mapping combination; performing coordinate scrambling on the coordinate values of the pixel points; all the pixel points form a pixel matrix, and the pixel matrix is traversed to obtain an initial encryption matrix; a pseudo-random sequence is obtained through a chaotic system, the pseudo-random sequence is arranged into a row matrix and a column matrix, the row matrix and the column matrix are subjected to XOR operation, and a plaintext image is converted into a two-dimensional matrix; converting the initial encryption matrix into a two-dimensional encryption matrix; on the basis of a CA model of a cellular automaton, calculating and assigning pixel point values of the initial encryption matrix and the two-dimensional encryption matrix to obtain a target encryption image, and the image encryption method based on the chaotic system can solve the problems that in the prior art, an image encryption method based on the chaotic system is not sensitive to plaintext images, cannot effectively defend differential attacks, is poor in robustness, and cannot effectively defend differential attacks. And the technical problems of periodicity and generally small key space are solved.

The invention discloses an RGB-D video encryption and decryption method based on a hyper-chaos technology and octlet fractional order Hartley transformation, and the encryption method comprises the following steps: S1, constructing a two-dimensional hyper-chaos system ICCHM based on ICMIC chaos mapping and Chebyshev chaos mapping, and generating a random matrix and a random sequence required by encryption by using the two-dimensional hyper-chaos system ICCHM; s2, defining octlet fractional order Hartley transformation and inverse transformation of the octlet fractional order Hartley transformation; and S3, carrying out RGB-D video encryption processing. According to the method disclosed by the invention, integral encryption of RGB-D is realized, two types of data with difference can be processed at the same time, and relatively high video encryption efficiency, relatively large key space and relatively high security are achieved; in addition, the encryption key management and transmission of the method are very convenient, and common cryptographic attacks can be effectively resisted.

The application discloses an image encryption method and system based on a chaotic system, and relates to the technical field of image processing.The method comprises the following steps: a chaotic system is constructed by combining a cellular automaton with a tent map; the coordinate values of pixel points are subjected to coordinate scrambling; all the pixel points are formed into a pixel matrix, the pixel matrix is traversed, and an initial encryption matrix is obtained; a pseudo-random sequence is obtained through the chaotic system, arranged into a row matrix and a column matrix, and subjected to exclusive or operation to convert a plaintext image into a two-dimensional matrix; the initial encryption matrix is converted into a two-dimensional encryption matrix; based on a CA model of the cellular automaton, the initial encryption matrix and the two-dimensional encryption matrix are subjected to pixel point value calculation and assignment, and a target encryption image is obtained.The application can solve the technical problems of the prior art, such as that the image encryption method based on the chaotic system is not sensitive to the plaintext image, cannot effectively defend against differential attacks, has poor robustness, and has the problems of periodicity and a generally small key space.

The present invention discloses a chaotic block encryption method, system and medium based on random selection of a model, which belongs to the field of information security technology and is used to solve the technical problems that the existing chaotic encryption algorithm is easily cracked and maliciously attacked when used alone, and relies on the internal characteristics of nonlinear functions, does not expand the secret key space, and has limited improvement on the security of the secret key. The method includes: based on a preset chaotic system, constructing a chaotic system model library; the chaotic system model library contains several chaotic subsystems; based on binary coding, generating a secret key initial field for the original image; according to the secret key initial field, selecting a corresponding target chaotic subsystem in the chaotic system model library; encrypting the original image through the target chaotic subsystem to obtain an encrypted image. The present invention designs a row-level image chaotic encryption algorithm to improve the image encryption speed. It also increases the secret key length, expands the secret key space, and increases the security of the secret key.

The present invention discloses a practical chaotic encryption method for medical images based on an oblique filling curve, comprising the following steps: obtaining a medical image to be processed; preprocessing the medical image once to obtain a preprocessed medical image; generating a key based on the preprocessed medical image, wherein the key is based on a chaotic mapping to obtain a chaotic sequence; diffusing the pixel values ​​of the preprocessed medical image based on the chaotic sequence to obtain a semi-ciphertext image; preprocessing the semi-ciphertext image twice to obtain a preprocessed semi-ciphertext image; the preprocessed semi-ciphertext image is based on a chaotic sequence, and index scrambling and oblique filling curve scrambling are used to obtain an encrypted image. The encryption scheme proposed by the method can realize the encryption of medical images with negative values, thereby increasing the practicality of the method. In the encryption process, the patient's ID card number is added to the key, thereby increasing the key space of the method. The present invention proposes oblique filling curve scrambling, which can realize rapid scrambling of the image.

The embodiment of the invention discloses an image encryption method and system based on a fractional order pseudo-random number generator and DNA coding and decoding, and the method comprises the steps: determining the length of a key string required for encryption based on a partitioned image, and generating a high-randomness key string according to the fractional order pseudo-random number generator, the problems that a traditional integer order chaotic system is insufficient in randomness and limited in secret key space are solved, a CBC chain type encryption mode is introduced to conduct inter-block encryption on each block of image after block division, generation of each ciphertext block depends on a previous ciphertext, inter-block relevance is established, the problem that the inter-block relevance is missing due to the independent encryption characteristic is solved, and the encryption efficiency is improved. According to the method, the image is encrypted, the differential attack resistance of the image is enhanced, the DNA coding and decoding rule is dynamically selected based on the key string, and the image block is encrypted on the basis, so that the defect that the static coding rule is easily subjected to exhaustive attack is overcome, the real-time dynamic coding mechanism is realized, and the attack resistance of image encryption is improved.

The invention discloses an image encryption method and device, a program product and a medium, relates to the technical field of image processing, and provides an image encryption method aiming at the problem of insufficient security of image encryption by a traditional RNA (Ribonucleic Acid) algorithm to realize image encryption through combination of Arnold transformation and an RNA encryption algorithm. Moreover, in the image encryption process, a chaotic sequence is used to determine control parameters of Arnold transformation and a scrambling rule and a diffusion algorithm of an RNA encryption algorithm, so that the unpredictability of the algorithm is increased, and the encryption effect is improved. The chaotic system is high in key stream generation speed, sensitive to initial conditions and suitable for generating high-complexity keys at low cost. And the RNA encryption algorithm can quickly search the optimal encryption parameter, so that the calculation redundancy is reduced. The image encryption scheme provided by the method is high in complexity, relatively large in key space and good in security, can resist various attacks, and has very considerable application prospect and value for encryption transmission of the image.

The invention discloses a color medical image encryption method based on an iris secret key and digital holography, and the method comprises the encryption steps: firstly generating an iris chaotic structure light phase mask through employing an iris feature extraction technology, a chaotic matrix generation program, and a phase modulation technology; then, an FRFCM algorithm, a grating modulation technology, a Fresnel domain double random phase coding technology based on chaotic structured light illumination and a digital holographic coding technology are utilized to encrypt the original color medical plaintext image, so that three amplitude type holographic ciphertext graphs are generated; and a decryption step: firstly, carrying out iris authentication on the decryption user and the encryption user, if the authentication is successful, decrypting the ciphertext hologram by using iris high-order mask data of the encryption user so as to generate a correct decryption result, and otherwise, stopping decryption if the authentication fails. The color medical image encryption method provided by the invention has the advantages of high security, good iris key robustness, high digital key sensitivity, small calculation burden, large key space and high decryption quality.

This invention proposes an image encryption method, system, and decryption method and system, relating to the technical field of information security. It utilizes the computational holographic GS algorithm to encode the original image into a pure phase holographic encrypted image. Then, based on a pseudo-random block-based approach, a Logistic chaotic system is used to generate a pseudo-random sequence and obtain its complementary sequence. These two sequences are used to block-process the pure phase holographic encrypted image, generating two complementary sub-images. This avoids strong correlation between image pixels and ensures the reliability of encryption for each image pixel. Next, the Logistic chaotic system is used to perform a bitwise XOR operation on the block sub-images to obtain scrambled encrypted sub-images. Finally, the scrambled encrypted sub-images are synthesized into a complete encrypted image. This results in better encryption performance, a larger key space, and improved confidentiality and security during image transmission and use.

The present invention discloses an encrypted optical transmission method and system based on a four-dimensional memristive conditional symmetric chaotic system and a memristive neural network, belonging to the technical field of optical transmission, including: obtaining an original sequence; generating a logistic chaotic sequence through a logistic chaotic model, and using the logistic chaotic sequence to select a certain chaotic sequence or attractor from a pre-constructed key space library through a four-dimensional memristive conditional symmetric chaotic system; inputting the original sequence and the selected chaotic sequence or attractor into the memristive neural network for exclusive-or encryption to obtain encrypted data, modulating the encrypted data and then sending it into a channel for transmission; demodulating and decrypting the received encrypted data to complete optical transmission; realizing multi-layer encryption of data, improving the security performance of optical transmission, and solving the defect that the transmission security is less considered in the prior art; further reducing the overall complexity, and being very suitable for the OFDM-PON scenario.

This invention relates to the fields of information security and artificial intelligence technology, specifically to a privacy-preserving open-set face recognition method based on LoRa and uncertainty estimation, comprising the following steps: generating a hash code set; pre-training a basic feature encoder to extract facial features; mapping facial features to binary hash codes in the hash code set, defining them as a target encryption key; and constructing a key space; selecting a query sample; fine-tuning the basic feature encoder multiple times to a personalized feature encoder; converging the facial features of the query sample under different conditions to the mapped target encryption key; during fine-tuning of the basic feature encoder, jointly learning evidence values ​​about the output with the total loss; in the authentication stage, calculating uncertainty; if the uncertainty value is greater than an uncertainty threshold, rejecting the access request; if the uncertainty value is not greater than a pre-uncertainty threshold, performing a bit-by-bit matching between the predicted key and the encryption key in the database.

The application relates to an optical encryption method and an optical encryption system, the method comprising: loading spatial plaintext information to be encrypted into an optical path to obtain an optical beam carrying the spatial plaintext information; modulating the optical beam into a time-varying optical field through a complex medium, wherein the dynamic characteristics of the complex medium vary with time and repeat in a fixed period, and the periodic variation of the optical field is determined by the fixed period; collecting information of the optical field in a preset time period within the fixed period as time-domain ciphertext data. In the optical encryption, an additional key control parameter, i.e. the optical field information in a specific time period within the selection period, is introduced to generate the ciphertext, the generation of the ciphertext becomes more complex and unpredictable, the key space is expanded, the leakage of the periodic characteristics of the optical field is avoided, and the security of the system is significantly enhanced. Meanwhile, since the encryption no longer depends on complete time sequence data, the requirement for the hardware performance is reduced, the implementation cost is further reduced, and the encryption efficiency is improved.

The present invention belongs to the technical field of information security, and particularly relates to a physical layer information encryption method based on infinite-dimensional hyperchaos. In order to improve the security of data transmission in the current industrial Internet of Things, when the present invention uses an infinite-dimensional hyperchaotic system for plaintext information encryption, the key space can reach an infinite dimension in theory; the present invention uses the channel information between legitimate users as the input of a dynamic Hash key function based on infinite-dimensional hyperchaos to obtain a dynamic key for encryption, achieving higher security; the present invention uses the characteristics of an infinite-dimensional hyperchaotic system to generate a new type of S-box, which has stronger anti-attack ability and better security performance compared with traditional S-boxes.

The invention discloses a multi-modal space-time alignment safe driving emotion recognition method based on sensitive word guidance. Sensitive word features are extracted through driving monitoring videos and voice data. A plurality of candidate time intervals in the video where emotions may be present are determined by analyzing the temporal attention of the sensitive word-speech text. And adaptively determining a key time frame with a driving emotion by means of sensitive word-visual time cross attention. In a key time frame, component features are extracted in a multi-space region of a face component, an alignment relationship between the component features and voice sensitive words is analyzed, and a key space region with driving emotion is adaptively determined by means of sensitive word-visual space cross attention. According to the method, the space-time asynchronous condition of the sensitive words in the multi-modal data is fully considered, the candidate time interval, the key time frame and the key space area are sequentially analyzed, the key clues of the driving emotion are gradually searched, and the accuracy of safe driving emotion recognition can be effectively improved.

This invention discloses a data storage method and system based on a scalable multidimensional learning index structure, belonging to the field of computer data storage. This system fully utilizes storage characteristics to organize data into memory and disk, significantly reducing disk I / O with minimal memory usage, accelerating data search speed, and supporting data expansion. This invention can be applied to multidimensional data indexing, typically represented by geospatial data, meeting the need for rapid multidimensional key searching in the high-dimensional key space of such data.

The invention discloses a female endocrine metabolism intelligent monitoring method, system, device and medium, a secondary encryption mode combining improved chaotic encryption and AES encryption is adopted, an adaptive parameter adjustment mechanism is introduced into the improved chaotic encryption, chaotic system parameters are dynamically adjusted according to data block characteristics, the key space is expanded, and the encryption efficiency is improved. The encryption complexity is enhanced; and AES encryption, HTTPS protocol transmission and a CRC verification mechanism are combined, so that the security and integrity of data transmission are greatly improved, and the problem of insufficient privacy protection in the prior art is solved.

The invention relates to the technical field of operation and maintenance management, and discloses an operation and maintenance task-oriented automatic template management system, which comprises the following steps of: uniformly expressing an equipment tree in a fixed sequence of projects, branch companies, machine room sub-parts / sub-items and first-level / second-level / third-level equipment through node indexing-hierarchical coding-alignment to generate a stable index vector; cross-project naming differences and hierarchy missing or redundancy are converted into recoverable index offset, the same object is positioned consistently in different tree versions, candidate screening is not affected by hierarchy jitter, a type extraction module executes alias merging on a type table to obtain type mapping, then type vectors are extracted from a task list according to the type mapping, and the type vectors are extracted from the task list. According to the method, alias crossing and granularity inconsistency are converged to a unified key space, ambiguity is eliminated in an extraction link, and template matching is accurately restrained, so that near-synonym error locking is reduced, the accuracy and stability of template automatic locking are improved, and manual proofreading and backspacing are reduced.

The invention discloses a video region-of-interest encryption method and system based on semantic perception multi-target detection and an enhanced chaotic system in the technical field of video processing and information security. The method comprises the following steps: generating a chaotic sequence as an encryption key stream by using an enhanced coupling chaotic system; according to an input video frame and an interested area text prompt defined by a user, identifying an interested area in the video frame by utilizing a semantic perception target detection network, and outputting coordinates of the interested area; according to the coordinates of the region of interest, performing classification marking on blocks of a video frame by using a video encoder to obtain region of interest blocks; and according to the encryption key stream, encrypting the region-of-interest block by using a zero-bit growth region-of-interest selective encryption strategy. According to the method, the problems that the recognition type of the region of interest is limited and the encryption key space is insufficient in the traditional method are solved, and the security and the flexibility are improved while the video format compatibility is ensured.

The embodiment of the invention provides a virtual machine creating method, device and system, a storage medium and a program product. Wherein a physical TKM in the processor can provide a plurality of key spaces, and a use mode distribution view of each key space is preset. And according to the use mode distribution view of the key space, determining the target identifier for the to-be-created virtual machine from the identifier set of the key space corresponding to the target use mode required by the to-be-created virtual machine, thereby realizing effective management of key space resources. And completing pre-planning and registration of the key space on a physical machine through a preset use mode distribution view. When the virtual machine is created, only the proper identifier of the key space needs to be automatically selected according to the target use mode of the virtual machine, and a new vTKM instance does not need to be dynamically applied to the physical TKM, so that the delay caused by waiting for TKM hardware resource allocation in the virtual machine creation process is avoided, and the creation efficiency of the virtual machine is favorably improved.

This information processing method evaluates the safety of a public parameter for forming a secret key space, which is a set of secret keys used in the Diffie-Hellman (DH) key exchange method. The secret key space is a vector space. The information processing method comprises: detecting a first pair of secret keys the public keys of which match in a secret key space (S31); acquiring information indicating thr relative positional relationship of the first pair of secret keys in the secret key space (S32); and further detecting a second pair of secret keys the public keys of which match in the secret key space, by using, as a starting point, each of a plurality of points in the secret key space, the points being included in a path connecting an arbitrary first point and a second point in the secret key space, the second point having a relative positional relationship with the first point (S34).

The application discloses an image encryption method based on fractional order Lur' e chaotic system synchronization. The method uses the Caputo fractional order differential operator to construct a fractional order Lur' e master chaotic system as a key stream generator, uses the time delay segmentation principle to design a time delay state feedback controller for a slave system, and ensures that the master-slave system realizes robust synchronization under the performance index mu through a linear matrix inequality (LMI) condition; a sending end runs the master system to generate a pseudo-random key stream, performs pixel scrambling and XOR diffusion encryption on a plaintext image in sequence, and transmits a ciphertext image through a public channel; a receiving end reconstructs a synchronous slave system according to a shared key, and performs decryption in reverse order to recover the plaintext image. The application expands the key space, provides a corresponding theoretical upper bound of the influence of channel interference on decryption error, considers security, robustness and practicability, and is suitable for image secure communication scenes in a noisy channel environment.

The application discloses a kind of multi-modal space-time alignment safe driving emotion recognition methods based on sensitive word guide.The application extracts sensitive word features by driving monitoring video and voice data.With the analysis sensitive word-voice text time attention, determine the multiple candidate time intervals that possibly exist emotion in video.With the sensitive word-visual time cross attention, adaptively determine the key time frame that exists driving emotion.In key time frame, extract component features in the multiple space regions of human face component, analyze its alignment relationship with voice sensitive word, with the sensitive word-visual space cross attention, adaptively determine the key space region that exists driving emotion.The application fully considers the space-time asynchronization of sensitive word in multi-modal data, sequentially analyzes candidate time interval, key time frame, key space region, gradually finds the key clue of driving emotion, and can effectively improve the accuracy of safe driving emotion recognition.

The present invention relates to the field of video encryption technology, and in particular to a video encryption method based on a fractional-order memristive chaotic map with controllable multi-stable states, and a video encryption device using the video encryption method. The present invention constructs a fractional-order memristive chaotic map with controllable homogeneous multi-stable states, and uses the continuous and stable enhanced chaotic sequence generated by the map to encrypt video data. Different encryption steps in the present invention use different enhanced chaotic sequences, thereby generating higher security. The present invention can effectively resist noise attacks, and has good robustness against data loss during the transmission of encrypted video data. The present invention has high sensitivity to keys, a large key space, and good practical application prospects.

The invention discloses an RFID security authentication protocol method and system based on a block-order-mode key matrix encryption algorithm. The method specifically comprises the following steps: firstly, constructing a system model of a mobile RFID network; then constructing a self-adaptive module value encryption algorithm, a self-updating encryption sequence encryption algorithm and a diagonal block local transpose key matrix encryption algorithm; then constructing a block-sequence-mode key matrix encryption algorithm based on a self-adaptive module value encryption algorithm, a self-updating encryption sequence encryption algorithm and a diagonal block local transpose key matrix encryption algorithm; and finally, based on a block-sequence-mode key matrix encryption algorithm, constructing an RFID security authentication protocol based on the block-sequence-mode key matrix encryption algorithm. According to the method, on the premise that a new key matrix does not need to be additionally stored, the feasible region of the key space is expanded, the security and the real-time performance of the protocol are improved, the storage space of the RFID tag is saved, and the method is suitable for being deployed in the low-cost RFID tag with limited storage resources.

This disclosure provides a chaotic video encryption method based on a sliding encryption window, comprising: determining the sliding step size and dimensions of the encryption window according to the correlation between the initial value of the key stream and the frame content; dividing the video sequence frame by frame into a sliding encryption window to obtain the encryption region corresponding to each frame; dynamically adjusting the chaotic system parameters based on the pixel information within the encryption window to generate an encryption key stream; and applying the key stream to the pixels within the corresponding encryption window for chaotic scrambling and encryption. The scheme of this disclosure can provide feedback control of the encryption window division strategy based on the correlation between the initial value of the key stream and the frame content, thereby solving the problem of insufficient resistance to brute-force attacks caused by limited key space.

The invention discloses an implementation method of a lightweight wireless encryption communication module based on a generative quantum random number, and belongs to the technical field of wireless encryption communication. The method comprises the steps that a quantum physical entropy source is collected and preprocessed; generating a key seed by using channel fingerprint coding and a dynamic salt value injection technology; generating a session key in combination with a dynamic mask channel fingerprint binding method, and updating the session key; an encryption system of a dual-mode architecture of AES-128 and ChaCha20-Poly1305 is adopted, so that execution of data encryption and integrity protection are realized; and quantum encryption is realized by adopting a Kyber algorithm and an HKDF dynamic parameter negotiation mechanism. According to the method, the statistical deviation caused by environmental interference is effectively eliminated by performing exclusive or depolarization, channel fingerprint coding and dynamic salt value injection technologies on key seeds; meanwhile, the difference of fingerprints of adjacent channels is bound through AES-CTR masks, the system can adjust session keys in real time and effectively resist replay attacks, the HMAC-SHA3-512 isolates encryption and authentication key spaces, the side channel attack resistance is improved, and high-safety communication protection is achieved.

The subject technology receives a key-value pair. The subject technology determines a value size of the key-value pair is greater than a threshold size for an out of line blob (OLB) key space. The subject technology performs a write operation of a key-pointer pair into a regular space. The subject technology performs a plurality of write operations for multiple key-value parts of the key-value pair into the OLB key space. The subject technology performs conflict checking of the regular space for the key-value pair.