5 results about "Collision attack" patented technology

The invention discloses a lightweight hash function construction method and device based on a chaos sponge structure, equipment, a storage medium and a program product, and relates to the technical field of encryption algorithms, and the method comprises an initialization stage, an absorption stage and an extrusion stage. Wherein in the initialization stage, input messages are subjected to standardized filling, and an initialized input sequence is obtained; in the absorption stage, the initialization input sequence and the external part of the internal state are subjected to XOR, and the internal state after XOR is obtained; diffusing the internal state after XOR through the dynamic replacement layer to obtain an absorbed internal state; and an extrusion stage: iteratively extracting Hash output based on the absorbed internal state. Due to the fact that the lightweight hash function which is optimized for low resources and provided with the dynamic replacement layer is designed, the hash function is instantiated through a sponge structure frame, the output length flexibility and the collision attack resistance are kept, and strict cryptographic analysis is supported.

The application discloses a multi-functional hash function construction method and circuit device based on a turbo encoder, and proposes a new security strategy and a new overall structure for ICCS new commercial secret hash standard collection.The overall structure is as follows: a master control unit is a turbo encoder, a controlled unit is a nonlinear logic iterator, the controlled unit works in a block cipher mode or a strong permutation mode, and the c.r of the controlled unit is preferably outputted, and the c.r is outputted and updated by the master control unit, and the plaintext block updates the state of the master control unit.The application point is that the c.l of the controlled unit is not directly modified and directly outputted, and the security capacity c.l is used to resist the original image attack and the collision attack.The technical effect is that the maximum code rate + the anti-original image / state capacity is an optimal design, the sponge structure is enabled to increase the code rate, a large state capacity large input large output overall structure is constructed by supporting a plurality of small state capacity overall structures, the controlled units are basically the same, so that one circuit supports a combination mode / decomposition mode, and one set of code covers a family of algorithms.The multi-function is hash / xof, mac or duplex mode.

This invention relates to the field of data security technology and proposes an intelligent password management and secure login method under dynamic credential control. The steps include: creating a high-strength password using a built-in password generator; dynamically calculating an account security trust score based on a neural network model trained from multi-dimensional behavioral data; and triggering a risk-based targeted password update when the trust score is too low. During the login process, a pre-built user behavior knowledge graph and a heterogeneous graph attention network model are used to calculate the context deviation of login events in real time, identify complex attack behaviors, and execute tiered protection responses. After the account is locked, a real-time risk score is initialized and dynamically adjusted based on multi-source risk signals and a nonlinear decay model to achieve intelligent risk unlocking. This invention realizes a transformation of credential management from static rules to dynamic cognition, significantly improving the defense capabilities against advanced threats such as credential stuffing and credential collision attacks, while optimizing user experience and operational efficiency.

The invention provides an anti-collision attack verification method and device, a storage medium and electronic equipment, and relates to the field of communication verification of master and slave equipment. The security chip of the host selects a target verification algorithm from a plurality of verification algorithms; sending a verification instruction to the slave according to the identifier of the target verification algorithm; wherein the verification instruction comprises an identifier of a target verification algorithm and is used for indicating the slave to use the target verification algorithm to perform identity verification; and receiving verification response information returned by the slave based on the verification instruction. And if the verification response information indicates that the slave does not pass the identity verification, returning to the identification according to the target verification algorithm, and sending a verification instruction to the slave until an iteration termination condition is reached. Thus, the target verification algorithm which does not pass verification is locked, and the verification instruction corresponding to the target verification algorithm is forcibly and repeatedly sent in the subsequent retry, so that the difficulty that an attacker carries out collision attack on the cracked algorithm through multiple attempts is increased, and the defense capability for the collision attack is improved.

The application provides a collision attack post-processing method and system based on a genetic algorithm. A plurality of groups of random plaintexts are obtained first, and corresponding power traces are obtained by encryption through a cryptographic algorithm; correlation-enhanced collision attacks are performed on the random plaintexts and the power traces to obtain possibility rankings of pairwise key byte collision values; average values of energy traces of each group of power traces are calculated, and square sums of energy trace differences between key bytes are calculated; collision values between pairwise key bytes are confirmed according to a theoretical distribution of the square sums; the pairwise key byte collision values are rearranged, and the values marked as collisions are moved forward, and the values not marked as collisions are moved backward; initial populations are input into a genetic algorithm framework for evolution, and selection, crossover and mutation operations are implemented until an evolution generation reaches a threshold value or a correct collision chain is found, and the individual with the highest fitness is output as a result. The application significantly improves the efficiency and accuracy of the collision attack by optimizing the evaluation and selection strategy of key candidates.