Malware detection method based on software genetic technology

Abstract

The invention discloses a malware detection method based on software genetic technology. The method comprises: performs gene extraction on a to-be-detected sample, comparing an extracted genome with azombie-trojan-worm virus family gene pool, calculating similarity, thereby identifying whether the to-be-detected sample is malware or not. The method can be used as an auxiliary detection means of malware, and effectively reduces missing report rate of malware detection by an existing malware detection method.

Description

technical field [0001] The invention relates to the technical field of information security, in particular to a malware detection method based on software gene technology. Background technique [0002] With the rapid development of information technology, data has undoubtedly become a valuable resource. At the same time, the accompanying information security issues have become increasingly prominent. [0003] In recent years, information security incidents such as data loss, information leakage, and system paralysis caused by malicious software have emerged in an endless stream, which has greatly affected personal privacy, corporate credit, and even national security. Therefore, it is more and more important to detect and identify malware. However, the increasingly common application of network technology, the explosive development of software diversity and the arrival of the era of big data make the existing traditional malware detection methods relying on feature value d...

AI Technical Summary

Problems solved by technology

However, with the increasingly common application of network technology, the explosive development of software diversity and the arrival of the era of big data, the existing traditional malware detection methods relying on feature value detection are not enough to identify malware well.

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