7 results about "State transition table" patented technology

The invention relates to the technical field of network security, and discloses a multi-agent cooperative RESTful API vulnerability test method. Constructing a parameter structured representation by analyzing an API interface specification, generating a test value conforming to service semantics by using a large language model, and establishing a semantic request baseline representing normal service logic; constructing a multi-agent collaborative architecture including vulnerability reasoning, case generation, test execution, test analysis and test management; all the agents are coordinated to carry out iterative vulnerability testing through a signal mechanism and a state transition table, and API service analysis, test strategy customization, use case directional variation and execution, result study and judgment and strategy optimization are achieved; and finally generating a structured vulnerability report. According to the method, the problems of semantic blind areas, shallow analysis layers, insufficient adaptive capacity and the like are solved, security risks such as business logic vulnerabilities and sensitive data leakage in the RESTful API can be deeply detected, and the accuracy and coverage rate of vulnerability detection are remarkably improved.

The invention discloses a heavy haul train automatic driving curve planning method, electronic equipment and a storage medium. The method comprises the steps that a DP state transition table is loaded, and a plurality of initial states, a plurality of actions capable of being adopted in each initial state and a transition state capable of being reached by each action are defined in the DP state transition table; acquiring a protection curve as a speed limit line, and drawing according to the protection curve to obtain a guide line; performing curve planning by taking N DP step lengths as a cycle, for each DP step length, sequentially traversing each migration state corresponding to the initial state of the DP step length from top to bottom in the DP state migration table, and performing judgment based on a speed limit line and a guide line to obtain respective target migration states of the N DP step lengths; and generating a speed-mileage planning curve of the train according to the final speed of a differential interval obtained by performing dynamic differential calculation by adopting the action corresponding to the target migration state of each DP step length. According to the invention, the planning success rate and fault tolerance can be improved.

The invention relates to the technical field of computer data processing and network security, in particular to an illegal character automatic cleaning system, which comprises a rule compiling module for monitoring rule change, performing semantic fusion and topological mapping on a rule set, constructing a deterministic finite automaton and mapping the deterministic finite automaton into a state transition table; the state switching module is used for constructing a double-buffer context and operating lock-free switching through an atomic pointer to realize hot updating; the speculation execution module is used for carrying out vectorization pre-scanning based on a state transition table by utilizing single-instruction multi-data stream parallel loading, identifying a walk path, falling into a safe state for releasing and falling into a trap state for triggering external verification; the self-adaptive feedback module is used for counting trap state triggering frequency, generating a rule allergy report and dynamically adjusting the size of a read fragment; according to the method, the contradiction between rule flexibility and execution efficiency is solved, and high-performance cleaning based on speculative execution is realized.

A system and method are disclosed for identifying malicious activity on a target device based on behavior analysis of the target device. The system includes a behavioral analyzer run on a virtual machine connected to the target device. The virtual machine collects system events and parameters from the target device and run a script, independent of the target device, to detect a threat. The script is a set of instructions executed to analyze behavior of an object by processing and correlating the events. The script includes a rule structure which stores signatures and expressions of the known malwares. By correlating the selected event parameters with known malware parameters, it is determined whether the event imposes a threat or not. A finite state machine is used for the state transition table.

Embodiments of the present application provide a pattern string matching method, device and equipment and a computer readable storage medium, relating to the technical field of pattern string matching, the method comprising: determining a character to be matched from a current state in a text to be matched as a character to be matched; calculating a hash value of the current state and the character to be matched as an address to be used; obtaining a first position index recorded at the address to be used in a hash mapping table; the hash mapping table is constructed based on a state transition table; obtaining a transition entry recorded at the first position index in the state transition table to obtain a transition entry of a sub-state matched with the current state and the character to be matched as a first transition entry; updating the sub-state matched with the current state and the character to be matched as a new current state, returning to execute the step of determining the character to be matched until there is no character to be matched in the text to be matched, and obtaining a matching result based on the obtained first transition entry. In this way, the storage space is reduced.

Disclosed are a decoding method, apparatus, device, medium and product, the method comprising: in response to a decoding request for target data, dividing the target data into at least one sub-block according to a preset length, the target data comprising system sequence soft information, verification sequence soft information and prior information; performing multi-channel parallel computing on the target data according to a pre-stored state transition table, and respectively determining current branch metric information of each sub-block, current forward state metric information of the target data and current backward state metric information of the target data; determining a posterior probability log-likelihood ratio and extrinsic information of each sub-block according to the current branch metric information, the current forward state metric information and the current backward state metric information; and determining a decoding result for target data according to each posterior probability log-likelihood ratio. According to the technical characteristics, the decoding complexity is reduced, the calculation time delay is reduced, and the decoding efficiency is improved.

The present application relates to computer data processing and network security technical field, specifically to a kind of illegal character automatic cleaning system, comprising: rule compiling module: monitoring rule changes, rule set is fused with topological mapping with semantics, constructs deterministic finite automaton and is mapped into state transition table;State switching module: constructs double-buffer context, realizes hot update by atomic pointer operation lockless switching;Speculative execution module: utilize single-instruction multiple-data stream parallel loading, vectorized pre-scanning is carried out based on state transition table, identifies wandering path, falls into safe state and releases, falls into trap state and triggers external check;Adaptive feedback module: the frequency of trap state triggering is counted, generates rule hypersensitivity report, dynamically adjusts reading fragment size;The present application solves the contradiction between rule flexibility and execution efficiency, realizes high-performance cleaning based on speculative execution.