32 results about "Cryptanalysis" patented technology

The invention discloses an efficient lattice cryptographic analysis system and method based on dynamic chaos control and quantum noise resistance. The efficient lattice cryptographic analysis system comprises a chaos control module, a mixed precision projection module, a quantum noise resistance module, a distributed architecture, a dimension compression calculator, a distributed task scheduler, a parallel execution unit, a load balancer and a result verifier. According to the efficient lattice cryptographic analysis system and method based on dynamic chaos control and quantum noise resistance, the calculation efficiency, quantum resistance and hardware adaptability of lattice cryptographic analysis are remarkably improved, and the system and method are suitable for financial audit, Internet of Things authentication, block chain security and other high-dimensional lattice reduction and quantum attack defense scenes.

The invention discloses a cryptanalysis task breakpoint continuation type fault-tolerant scheduling method, which relates to the technical field of distributed computing scheduling, and is characterized by comprising the following steps of: acquiring task attribute information, historical scheduling data and distributed node running state data of a cryptanalysis task; performing feature recognition on the task attribute information to obtain a task feature result, and matching the task feature result with tasks and nodes in the node operation state data to determine fault-tolerant scheduling core parameters; the method has the advantages that accurate breakpoint positioning and continuous calculation state recovery are achieved in combination with the breakpoint continuous calculation model, repeated calculation after task interruption is avoided, time and resource consumption is greatly reduced, the execution continuity of a cryptographic analysis task is improved, the method is convenient to adapt to a large-scale distributed resource scene of an E-level super-calculation cluster, and the method is suitable for large-scale distributed resource scenes of the E-level super-calculation cluster. The parallel computing power advantage of the E-level super computing cluster can be fully exerted, and the execution continuity of the cryptographic analysis task is improved.

The invention belongs to the technical field of information security, and particularly relates to a commercial password evaluation system and method, and the system comprises a protocol dynamic analysis layer, a multi-modal knowledge center, and an evaluation engine. The protocol dynamic analysis layer comprises a protocol grammar feature library used for defining protocol features; the SM-BERT semantic understanding module is used for protocol logic semantic extraction; the multi-modal knowledge center comprises a data modal fusion module used for integrating data and executing cross-modal alignment; the dynamic relation inference engine is used for performing incremental learning, generating association rules and filtering invalid rules; the evaluation engine comprises a multi-modal feature extraction module used for analyzing cipher suite configuration and a secret key life cycle; the compliance rule engine executes national cryptographic algorithm coverage detection and sensitive data protection verification; the physical security enhancement module simulates side channel attacks; according to the method, the problems of a static rule base, data splitting and high misjudgment rate in traditional password evaluation are solved, and the safety and evaluation efficiency of commercial password application can be remarkably improved.

A method for use in a wireless communication system comprising a transmitter and a receiver, the method comprising receiving, in the receiver, data comprising a plurality of channel-distorted synchronization codes and plurality of channel-distorted cipher codes, generating a receiver cipher sequence, the receiver cipher sequence comprising a plurality of receiver cipher codes, analyzing the received data to identify correlations between the plurality of channel-distorted cipher codes in the received data and the plurality of receiver cipher codes, accumulating the identified correlations as accumulator data in an accumulator, identifying one or more peaks in the accumulator data, identifying a first correlation peak in the accumulator data that meets one or more criteria and using the first correlation peak to identify the first path of a data packet from the transmitter.

To provide a system capable of preserving, in real time, digital assets composed of small-scale data linked to personal information, and robustly protecting critical information from cryptanalysis by a quantum computer, EMP attack or the like, and restoring such information.SOLUTION: The system is configured to: acquire consent information of both a first authenticator and a second authenticator regarding evacuation of data; encrypt data on the basis of the consent information and divide the data to plural pieces; sort each data in association with a plurality of preservation points; manage the data under a black-box environment; assign each data linked to information on the preservation points to be managed to a plurality of sets of distributed file management groups, each comprising node groups of a plurality of different bases in regions around the world that constitute the planet; distribute and record the data in the nodes of each base belonging to each distributed file management group; and create and encrypt index information on data each distributed and recorded, and record the index information in a node group at a specific base.SELECTED DRAWING: Figure 1

The application discloses a kind of data storage integrity verification system and method based on polynomial ring, it is related to data security technical field.The system includes data encoding module, base generating module, standard value library and measurement module;Data encoding module is used to convert the data to be verified into polynomial with the format of binary, base generating module is used to select base space and generate base using random selection method, measurement module completes the integrity verification of data by calling base generating module and standard value library, and the standard value library is used to store the standard integrity verification value of input data.The application is different from the conventional password based on mathematical problem design, and it is difficult to resist the password analysis based on artificial intelligence and quantum computing.The application only relies on mathematical principle to design integrity verification mechanism, and the data integrity verification is carried out based on the random selection of base of polynomial ring to resist various password attacks based on artificial intelligence and quantum computing, and does not depend on any mathematical problem, with unconditional security.

A system is provided robustly protects important information from high-level cyberattacks and physical destruction, including cryptographic analysis using quantum computers and electromagnetic pulse attacks, while enabling restoration without theft by a third party. The system encrypts and partitions file data using predetermined encryption and division algorithms based on a customer specified parameter, allots each file data to multiple sets of distributed file management groups comprising node groups at multiple bases in different regions of the world, distributes and records the file data to be saved in the nodes located at each base that belong to corresponding distributed file management groups, generates and encrypts index information of each distributed and recorded corresponding file data, and records the index information in node groups of a specified base in the consortium chain.

A self-adaptive frequency hopping RKE secure communication method, system, device and medium, the method of which comprises the following steps: initializing the self-adaptive frequency hopping RKE secure system; establishing a communication connection; authenticating the identity of the vehicle and the key; selecting a self-adaptive frequency hopping channel; transmitting control instructions after encryption; updating certificates; on the basis of the widely used rolling code RKE system, a self-adaptive frequency hopping scheme is proposed to transmit signals to avoid interference from signals on the same channel; an encryption scheme for radio frequency signals is proposed to solve the problem that the vehicle cannot execute remote control commands due to signal interference, and to avoid recording signals for password analysis, thereby further improving the confidentiality of communication; a lightweight one-way authentication protocol based on digital certificates is designed to authenticate the vehicle and the key, ensuring the authenticity and integrity of the control instructions, thereby enhancing the security of the entire system.

The invention discloses a cryptographic algorithm-mode classification method and system based on a BCAM-LGST model, and belongs to the technical field of information security and cryptographic analysis. Comprising the following steps: converting an original ciphertext into a fixed-length sequence and a grayscale image in parallel, and constructing complementary bimodal data representation; the method comprises the following steps: extracting high-level probability features of a sequence by adopting a LightGBM model as semantic priori, and carrying out cross-modal depth fusion on a priori-guided hierarchical dual-channel gating modulation mechanism and image structure features extracted by Swin Transform; and introducing spatial position association of a spatial perception enhancement matrix enhancement feature, and carrying out multi-scale feature modeling on a fusion feature under prior guidance by using layered window attention, so as to finally realize end-to-end joint classification. The block cipher algorithm-mode joint identification method can quickly, accurately and robustly realize block cipher algorithm-mode joint identification, and is suitable for practical engineering scenes such as network security level protection, cipher application security evaluation, digital forensics, encrypted traffic analysis and compliance auditing.

The invention belongs to the technical field of quantum computing, and discloses a coding method and device for quantum optimization solution, a program and a storage medium. The method comprises the following steps: receiving classical input data for defining an optimization problem, and mapping elements of a finite subset in a variable space into a quantum state by utilizing a coding model based on machine learning; and on the basis of the quantum state, constructing a Hamiltonian equivalent or approximately equivalent to an optimization problem for a quantum processor to carry out optimization calculation. The variable subset is selected by a selection module based on an attention mechanism, the encoding model can adopt an auto-encoder structure, and parameters of the two are jointly trained through a plurality of optimization indexes, so that collaborative optimization of adaptive quantum representation and solution performance is realized. The invention further provides a corresponding device, a program and a storage medium which can be widely applied to quantum algorithm design, lattice cipher analysis and quantum acceleration calculation of complex optimization problems.

A device described herein may maintain a set of models that include a plurality of cryptography configurations. A particular cryptography configuration may specify a first cryptography technique, a second cryptography technique, and a combination scheme. The device may provide the particular cryptography configuration to a particular system. The particular system may generate a first key based on the first cryptography technique, generate a second key based on the second cryptography technique, and generate a third key based on the first key, the second key, and the combination scheme. The third key may be used to encrypt communications associated with the particular system, such as by using the third key as a symmetric key.

The invention relates to the technical field of cryptographic analysis, and discloses an automatic linear path analysis method and system for an ARX type cryptographic algorithm, and the method comprises the following steps: constructing a round function, configuring a linear analysis target, and selecting a search strategy; performing linear mask initialization on the round function, and establishing an association relationship between inter-round mask variables; generating local linear mask propagation expressions based on the linear approximation characteristic of each basic operation unit, combining the local linear mask propagation expressions into a global linear approximation model, and calculating a correlation expression of a linear path; executing a search strategy on the global linear approximation model; converting the global linear approximation model and the search strategy into constraint description and solving the constraint description; according to the method, the modeling complexity of linear analysis is reduced through visual modeling and selection of the path search strategy, and automation of the linear path search process is achieved.

The application discloses a random roaming-based RSA public key cryptanalysis method and system. The method comprises the following steps: obtaining a modulus of an RSA public key; setting a dense factor and a step length; calculating a starting point and initializing a roaming point; defining a random roaming area and an expression of any element in the area; calculating the greatest common divisor of the element in the area and the modulus; and cyclically moving the step length and outputting the greatest common divisor. The system comprises a memory and a processor for executing the random roaming-based RSA public key cryptanalysis method. By using the application, the technical problem of difficult integer factorization in the RSA public key cryptanalysis method can be solved. The application can be widely applied to the technical field of integer factorization.

This invention discloses a data storage integrity verification system and method based on an integral ring, relating to the field of data security technology. It includes a data encoding module, a base generation module, a standard value library, and a measurement module. The data encoding module converts binary data to be verified into integers. The base generation module selects a base space and generates bases using a random selection method. The measurement module completes data integrity verification by calling the base generation module and the standard value library. The standard value library stores the standard integrity verification values ​​of the input data. This invention differs from conventional cryptography, which is based on mathematical problems and is vulnerable to cryptanalysis based on artificial intelligence and quantum computing. It relies solely on mathematical principles to design the integrity verification mechanism, performing data integrity verification based on the random selection of bases within an integral ring. This resists various cryptographic attacks based on artificial intelligence and quantum computing. Its security depends solely on mathematical principles and not on any mathematical problems, possessing unconditional security.

Provided is an apparatus for a low CNOT count quantum point doubling circuit targeting to minimize resource consumption during quantum cryptanalysis, particularly in elliptic curve cryptography (ECC). The apparatus, according to an embodiment of this present invention, is designed to reduce the overall depth of cryptographic analysis by implementing an efficient point-doubling mechanism.

This invention discloses a cryptanalysis and decryption method and system. The method includes: acquiring user basic information data, historical cryptanalysis data, and side-channel data; constructing reference data based on the user's basic information data, historical cryptanalysis data, and side-channel data; acquiring a set of cryptanalysis elements and randomly matching elements in the set to obtain a set of cryptanalysis combinations; randomly selecting a cryptanalysis combination from the set and comparing it with the reference data to obtain the decryption probability value of the corresponding cryptanalysis combination; when the decryption probability value of the cryptanalysis combination is greater than or equal to a preset first probability threshold, saving the corresponding cryptanalysis combination and displaying it on a preset management terminal. By comprehensively analyzing the user's historical cryptanalysis data, side-channel data, and user basic information data, a decryption result with a higher probability is output, improving the accuracy and efficiency of cryptanalysis.

This invention discloses a data transmission integrity verification system and method based on a polynomial ring, relating to the field of data security technology. It includes two entities, User A and User B. User A sends data, and User B receives data. Both User A and User B include a symmetric key store, an integrity verification module, and a data transmission module. The data transmission module receives binary stream data and converts it into elements of a polynomial ring. Simultaneously, it converts the verified data back into a binary stream and sends it. The integrity verification module sequentially selects keys from the symmetric key store and performs data integrity verification using polynomial modulo operations. This invention differs from conventional cryptography, which is designed based on mathematical problems and is vulnerable to cryptanalysis based on artificial intelligence and quantum computing. It relies solely on mathematical principles to design the integrity verification mechanism, using the random selection of the basis of a polynomial ring for data integrity verification to resist various cryptographic attacks based on artificial intelligence and quantum computing.

The invention relates to the technical field of cryptography, and discloses a stream cipher algorithm and device based on a multilayer filter, and the device comprises an initialization algorithm and a key stream generation algorithm. The initialization algorithm fully fuses a seed key and an initial vector through a multiplexing key stream generation algorithm. According to the key stream generation algorithm, the unpredictability of the key stream is increased through an extension-diffusion confusion-compression structure, so that the generated password sequence has an excellent pseudo-random statistical characteristic, and known cryptographic analysis methods such as algebraic attacks and related attacks can be effectively resisted. The algorithm does not depend on special hardware and has the advantage of low use cost; and high-speed encryption and decryption operation can be realized in a lightweight environment, and the requirements of 5G and even 6G times on encryption and decryption speeds can be met.

The invention belongs to the technical field of satellite communication and information security, and relates to an encryption method applied to low-orbit constellation anti-intelligent cryptographic analysis, which comprises the following steps of: configuring symmetrical keys at a transmitting end and a receiving end, and deriving an initial weight matrix and an initial chaotic state; the method comprises the following steps of: receiving upper-layer service bit streams by a sending end, grouping the upper-layer service bit streams to obtain a plurality of plaintext blocks, and respectively loading the plaintext blocks into corresponding state byte arrays; the sending end sequentially performs multi-round transformation on the state byte matrix of each plaintext block based on the initial weight matrix and the initial chaotic state to obtain a final state byte matrix of each plaintext block, namely encrypted data; the sending end sends the encrypted data to a receiving end; the receiving end receives the data sent by the sending end and decrypts the received data; according to the method, the dynamic chaotic S-Box and the round key are constructed according to the weight matrix and the chaotic state, so that the core nonlinearity of the AES and the round key are changed from a static state to a time-related dynamic structure, and the encryption effect is improved.

The invention provides a method and system for analyzing compliance and validity of secret evaluation object data based on cryptographic algorithm data features, and the method comprises the steps: S1, obtaining a data format, S2, calculating the data length, S3, obtaining a pairing set of symmetric cryptographic algorithm names and the grouping length thereof, and S4, obtaining a matching set of the symmetric cryptographic algorithm names and the grouping length thereof; s4, obtaining a pairing set of a password hash algorithm name and a hash value length thereof, S5, judging whether digital signature features of an asymmetric password algorithm are met, S6, judging whether digital envelope features of a secret evaluation rule are met, S7, judging whether digital certificate features of the secret evaluation rule are met, and S8, outputting a feature group result for secret evaluation operation; the system can automatically carry out structural analysis on input original data to obtain feature groups P, R and Y, based on comprehensive analysis on the feature groups, quantitative scoring is carried out on analysis results, the scores are added into a total score of a secret evaluation report, and a conclusion whether information system password application conforms to compliance and effectiveness or not is obtained.

The invention relates to the technical field of cryptographic analysis, and discloses an ARX type cryptographic algorithm differential path analysis method and system based on differential propagation, and the method comprises the following steps: constructing a round function of a cryptographic algorithm, configuring differential analysis parameters, and selecting a differential path search strategy. Comprising a multi-differential path automatic mining strategy, a differential aggregation analysis strategy and a search strategy with conditional constraints; converting the round function and the differential analysis parameters into intermediate description data; analyzing the intermediate description data, and extracting structure information of each basic operation unit in the round function; generating a differential analysis constraint; executing a differential path search; submitting the differential analysis constraint to a constraint solver for solving to obtain a differential path result; according to the method, the difference path result is analyzed, and the difference path and the aggregation analysis result are displayed, based on the method, a visual software system is constructed, and convenience and automation of difference analysis are achieved through visual modeling, automatic constraint generation and solver calling.

The invention provides a multi-set cryptographic analysis method and system based on a neural network, and the method comprises the steps: taking an active half-byte unit as an initial plaintext differential structure, encrypting a set round through a target encryption algorithm, generating a multi-set ciphertext sample, carrying out the pairing of all ciphertexts, calculating a differential value between the ciphertext pairs, and forming input data; compressing the input data according to the influence of each half-byte unit on the accuracy of the neural network discriminator; inputting the compressed input data into a pre-trained neural network discriminator, and extracting differential-linear cryptographic features contained in multiple sets; a residual structure containing multiple attention layers and a full-connection residual module are introduced into the neural network discriminator. According to the method, differential-linear features in multiple sets can be directly learned, and statistical characteristics in the multiple sets of data can be more effectively captured, so that the upper limit of the number of analysis rounds or the classification accuracy of a neural network discriminator is remarkably improved.

The methods discussed herein can extract relevant signals from sparse data sets, for instance in cryptographic analysis, noise reduction, pattern recognition, or computational genetics. The present solution can improve technological performance of an analytical device such as through reducing server load, computation time, and data storage sizes. The present solution can identify relevant signals, such as genetic variants with a high probability of pathogenicity, in large, sparse data sets.

Provided is an apparatus for a low CNOT count quantum point doubling circuit targeting to minimize resource consumption during quantum cryptanalysis, particularly in elliptic curve cryptography (ECC). The apparatus, according to an embodiment of this present invention, is designed to reduce the overall depth of cryptographic analysis by implementing an efficient point-doubling mechanism.

This invention relates to the field of cryptographic security technology, providing a password guessing method, apparatus, electronic device, and medium. The method includes: acquiring a target password to be guessed; guessing the target positions where character transformations may occur in the target password using a cryptographic language model with a self-attention mechanism; and replacing characters at the target positions based on multiple character substitution rules learned during the training of the cryptographic language model with the self-attention mechanism, thereby obtaining a password guessing dataset. Thus, by performing password guessing and rule extraction based on cryptanalysis, the obtained password guesses can effectively simulate user transformations of the password, and can also effectively learn the character and structural distribution of the password, improving the accuracy and coverage of password guessing.

A device described herein may maintain a set of models that associate a plurality of sets of input cryptography configurations with respective sets of output cryptography configurations; receive information indicating a first set of cryptography configurations associated with a particular system; compare the first set of cryptography configurations with one or more sets of input cryptography configurations of the set of models; identify, based on the comparing, a particular set of input cryptography configurations included in the set of models; identify a particular set of output cryptography configurations that are indicated in the set of models as being associated with the identified particular set of input cryptography configurations; and provide the particular set of output cryptography configurations to the particular system, wherein the particular system modifies or replaces the first set of cryptography configurations with the particular set of output cryptography configurations.

This invention belongs to the field of cryptanalysis technology and provides a cryptanalysis reverse attack method and system. It determines the classification of activation functions in a neural network model, including piecewise linear activation functions and piecewise nonlinear activation functions. For piecewise linear activation functions, it performs reverse attacks by achieving signature recovery with polynomial time complexity and symbol recovery with a certain time complexity on the original output and hard label settings, respectively. It also performs reverse attacks by achieving symbol recovery with polynomial time complexity on the original output of a contracted network. For piecewise nonlinear activation functions, it performs reverse attacks by achieving signature recovery with polynomial time complexity and symbol recovery with polynomial time complexity on the original output settings. This invention can recover an equivalent neural network with the same output characteristics as the original neural network through attack strategies.

Provided is an apparatus for a low CNOT count quantum point doubling circuit targeting to minimize resource consumption during quantum cryptanalysis, particularly in elliptic curve cryptography (ECC). The apparatus, according to an embodiment of this present invention, is designed to reduce the overall depth of cryptographic analysis by implementing an efficient point-doubling mechanism.

The invention discloses a linearization path searching method for a Sponge type cryptographic algorithm, and belongs to the technical field of information security and cryptographic analysis. The method comprises the following steps of: 1, deducing a linearized path dependency relationship; 2, constructing a mixed integer linear programming model; step 3, a target function setting and optimization solution step; 4, an optimal linearization path analysis and attack implementation step; and executing linearization path analysis and attack implementation according to an optimal solution result output by the optimization solver. According to the method, the branch and bound algorithm of the MILP solver is utilized, a theoretical global optimal path can be found in a full search space, an efficient attack path which is difficult to perceive manually can be found, and it can be ensured that an output attack scheme is executable under the actual computing power.

The present invention discloses a side channel attack method, device, and medium, relating to the technical field of side channel cryptographic analysis. Multiple sample plaintexts are encrypted using each hypothetical key in a hypothetical key space to obtain a hypothetical intermediate value matrix; each element of the hypothetical intermediate value matrix is ​​input into a leakage model, and the hypothetical intermediate value matrix is ​​modeled using Hamming weight and unevenly weighted bit sums using the leakage model to generate a hypothetical energy consumption matrix; each element of the hypothetical energy consumption matrix is ​​subjected to correlation analysis with energy traces corresponding to multiple sample plaintexts to determine a joint decision matrix; the hypothetical key space is updated based on the correlation ranking in the joint decision matrix, and the joint decision matrix is ​​obtained through iteration of the updated hypothetical key space; the hypothetical key with the highest correlation ranking in the joint decision matrix that meets preset conditions is determined as the key of the encryption device. This method can obtain a relatively accurate key using a relatively small number of samples.