7 results about "Collision resistance" patented technology

The invention relates to a three-dimensional model fingerprint generation method and system, a terminal and a storage medium. The method comprises the following steps: identifying a file type, analyzing a file structure for the file type containing structured entity information, and extracting triangular mesh entity data; executing a block sampling strategy based on the file size for the file type which does not contain the structured entity information; counting the total number of triangular facets for the triangular mesh entity data, and selecting an adaptive hierarchical sampling strategy according to the total number of the triangular facets; triangular surface area sampling is carried out on a triangular mesh entity, a sampling block-jumping block alternating traversal mode is adopted, and compared with an existing mode, the performance is improved by 69-83 times; besides, a two-level Hash structure is adopted, the first level is to calculate the MD5 value of the area accumulated sum for each sampling block, the second level is to calculate the overall MD5 value for the connection sequence of all block level MD5 values, and the two-level structure enhances the uniqueness and collision resistance of fingerprints.

The invention provides a Hash function construction method based on dynamic feedback quantum walk. The Hash function construction method comprises the following steps: step 1, realizing Hash function initialization based on dynamic feedback quantum walk; 2, realizing dynamic feedback quantum walking evolution; 3, obtaining the probability distribution of the final quantum state corresponding to each vertex on the two-dimensional grid points through projection measurement; and 4, executing a post-processing method, processing the probability of each vertex on the two-dimensional lattice points through interception and modulo operation, and connecting to obtain a final hash value. According to the method, the message is mapped into the initial parameter of the coin operator, so that the sensitivity of the hash function to the initial message is improved; meanwhile, a dynamic feedback mechanism is introduced to adjust coin operator parameters, the quantum walking evolution process is controlled to optimize quantum state probability distribution, and collision resistance and uniformity of a hash function are improved. According to the method, a high-safety and high-robustness scheme is provided for Hash function construction based on quantum walking.

The invention discloses a system based on hybrid algorithm protection, a protection method, a BIOS and a computer. The system adopts a first protection strategy to protect a core code, and comprises the following steps: adopting a first encrypted signature algorithm to calculate an encrypted signature value of the core code to obtain an original first encrypted signature value; performing digital signature on the original first encrypted signature value by adopting an RSA private key to generate original signature data; encrypting the original signature data by using a first symmetric encryption algorithm to generate an encrypted original check code; storing the original first encrypted signature value and the original check code in a first storage area; protecting the non-core code by adopting a second protection strategy, including dividing the non-core code into multiple sections of continuous sub-codes and calculating encrypted signature values of the sub-codes by adopting a second encrypted signature algorithm to obtain sub-original encrypted signature values and storing the sub-original encrypted signature values in a second storage area, the collision resistance of the first encrypted signature algorithm is higher than that of the second encrypted signature algorithm. The safety of the system can be improved.

The present invention relates to a method for implementing hashing with high preimage resistance, collision resistance, and avalanche effect using a neural network model. A message hashing method according to an embodiment of the present invention comprises the steps of: generating a first random number dataset by setting each element of a vector having a first length as a random number, and generating a second random number dataset by setting each element of a vector having a second length shorter than the first length as a random number; supervised learning of a merge block using a first training dataset in which input / output data is composed of the first random number dataset; supervised learning of a hash block using a second training dataset in which input / output data is composed of the first and second random number datasets, respectively; generating a plurality of units by dividing a target message by the first length and sequentially inputting the plurality of units into the merge block serially connected by the number of units; and determining a digest having the second length by inputting the output of the serially connected merge block into the hash block.

The invention discloses a lattice-based anti-quantum trap door random permutation function construction method, and belongs to the technical field of public key cryptographic algorithm design, and the method comprises the steps: S1, selecting parameters meeting requirements according to actual demands; s2, selecting an auxiliary function according to the selected parameters; S3, generating a permutation function defined on the auxiliary function; s4, trap door inversion operation is carried out on the replacement function value output in the step S3, and a trap door random replacement function is obtained; according to the lattice-based anti-quantum trap door random permutation function construction method provided by the invention, the unidirectivity and collision resistance of the function are established on the difficulty of the lattice problem, so that the function is provided with the capability of resisting the attack of a quantum computer, and the potential safety hazard of the existing trap door permutation function in the post-quantum era is solved.

This invention provides a method and system for generating a digital fingerprint of power grid operation mode. The method, based on physical information such as power grid topology, equipment model parameters, and the operating states of various equipment (loads and power sources), constructs feature vectors using admittance and impedance matrices and performs hash operations to generate the digital fingerprint of power grid operation mode. The digital fingerprint generated by this method and system possesses uniqueness, irreversibility, and collision resistance, and is independent of non-physical information such as specific data storage formats and equipment component naming. It can represent the physical characteristics of power grid topology, equipment model parameters, and the operating states of various equipment (loads and power sources) across platforms and software.

The invention discloses a bionic thin-walled structure crashworthiness analysis method based on finite element simulation, particularly relates to the technical field of computer-aided engineering simulation, and is used for solving the problem that the crashworthiness of a complex bionic thin-walled structure is difficult to systematically evaluate in the early stage of design in the prior art. The method comprises the following steps: establishing a three-dimensional geometric model, carrying out finite element grid division, constructing a finite element model for collision simulation, then applying a dynamic impact load to execute collision calculation, extracting node coordinate data, and converting a structure dynamic deformation process into topological characteristic evolution through persistent coherence analysis; a distance-based filtering process is adopted to generate a filtering complex sequence, a persistence graph is obtained by calculating homology group evolution, quantitative indexes, including an average life cycle and persistence entropy, representing topological feature persistence are extracted, then a performance balance graph is constructed, Pareto leading edge distribution is recognized through a non-dominated sorting algorithm in multi-objective optimization, and the performance balance graph is obtained. And the scheme screening of the collision resistance of the bionic thin-wall structure is realized.