5 results about "MD5" patented technology

This invention belongs to the field of embedded software technology and discloses an MD5 algorithm optimization method and system based on embedded software. In byte data processing, this method uses a defined MD5 calculation main function combined with three interface functions and data structures to form an MD5 calculation module. This module provides MD5 cycle-by-cycle calculation services for byte data processing to the upper-level user module and determines whether each clock cycle times out. This invention proposes an optimization method for the MD5 algorithm in embedded software. Leveraging the consistency of the algorithm's calculation process in each loop, the total time consumed by the algorithm is evenly distributed across several adjacent software cycles, effectively preventing timeouts in individual cycles caused by calling the MD5 algorithm function. Furthermore, this method does not use system calls related to multi-threaded operations, is independent of the operating system platform, and facilitates software code portability and promotion.

The application relates to the computer technical field and discloses an MD5 check data generation method, device and equipment and a storage medium. The method comprises the following steps: obtaining a first string to be processed; performing feature extraction on the first string to obtain a feature string representing feature information of the first string; generating a first salt value associated with the first string based on the feature string; and processing the first salt value and the first string through an MD5 algorithm to generate check data. The method can improve the difficulty of cracking the MD5 check data and enhance the data security of the MD5 salt check scheme.

This invention relates to a method for backing up electronic geological data files, belonging to the field of data backup. The method includes: a dynamic backup strategy determination step, which classifies and grades data according to its confidentiality, size, and intended backup medium, matching differentiated strategies and executing backups using a pipelined scheduling approach; a content-based redundancy deduplication step, which uses MD5+SM3+CRC32 calculations to build a global index to eliminate redundant data; a file segmentation and reassembly step, which automatically segments large files exceeding 50GB into 10GB sub-files and records the segmentation metadata; a file storage and security step, which randomly selects 2-3 data blocks based on the size of the electronic geological data file for encrypted replacement, encrypts metadata using the SM4 algorithm, and ensures data security through role-based access control, integrity verification, and audit logs; and a backup check and recovery step, which performs automatic verification, annual sampling checks, and heterogeneous recovery. The method improves storage efficiency through intelligent deduplication and tiered strategies, and enhances data security through encryption and integrity verification.

This invention provides a method for constructing high-quality metal material process datasets based on a large language model, relating to the field of process data collection and processing technology. It introduces a chemical composition hashing (HC) mechanism, which transforms complex composition information into unique identifiers through standardized concatenation of a preset element set and MD5 hashing, enabling efficient and accurate cross-file comparison. A three-level duplicate detection system—precise duplicates → similar duplicates → LLM intelligent confirmation—effectively avoids false rejections due to differences in expression while ensuring high recall. A prompting engineering system is constructed based on a locally deployed large language model, integrating domain knowledge templates and strict output format constraints. This achieves complete reconstruction and structured expression of complex process chains without manual intervention, enabling end-to-end extraction of standardized material entries from massive amounts of unstructured documents. Furthermore, semantic-level feature hashing and LLM-assisted judgment mechanisms significantly improve deduplication accuracy and logical consistency.

The present disclosure provides a log desensitization method, device, equipment and medium, relating to the technical field of network security. The method comprises: extracting a sensitive information field in the log data to be desensitized; processing the sensitive information field based on a message digest algorithm MD5 to obtain an MD5 value of the sensitive information field; performing hash calculation on the sensitive information field based on a preset zero collision hash algorithm to obtain a hash value of the sensitive information field; and performing desensitization processing on the MD5 value and the hash value to obtain a desensitization result of the log data to be desensitized. The present disclosure adopts the MD5 algorithm combined with the zero collision hash algorithm, effectively solves the log desensitization processing of the sensitive information field in the log data to be desensitized, also meets the requirement of zero collision of the desensitization result, maintains the data security, and ensures the uniqueness and correlation of the data after desensitization.