Acronis International has been granted a patent for a system that detects files differing from known malware by analyzing specific blocks of data within files. The system compares unknown files to known malware using predefined algorithms to identify discrepancies, enhancing malware detection capabilities in computing environments. GlobalData’s report on Acronis International gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Acronis International, Hybrid cloud mgmt was a key innovation area identified from patents. Acronis International's grant share as of July 2024 was 63%. Grant share is based on the ratio of number of grants to total number of patents.
File comparison system for malware detection
The patent US12072978B2 describes a system and method for detecting files that do not match a known malware file within a computing environment. The core of the system involves a processor that functions as an analyzer, which receives an unknown file and a known malware file. The analyzer compares multiple blocks of the unknown file to corresponding blocks of the known malware file, utilizing a predefined algorithm that determines the number, lengths, and offsets of these blocks based on malware file types. The comparison is conducted at various positions within the file, including the beginning, middle, and end. If any block from the unknown file differs from its corresponding block in the known malware file, the system outputs a value indicating that the unknown file is different.
Additionally, the system incorporates a pre-comparison step that may involve checking the file sizes of the unknown and known malware files before the main comparison. Following the initial analysis, a post-comparison can be performed, which may include comparing file signatures. The system is designed to compare the unknown file against every file in a malware collection, and it can also assess selected file attributes to further confirm differences. The claims outline various methods for comparing blocks, including one-by-one comparisons and concatenation of selected blocks for synthetic analysis. Overall, the patent presents a structured approach to malware detection by leveraging specific file attributes and block comparisons to identify potential threats.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
