行为恶意软件分析算法比较

Matus Uchnar, P. Fecilak
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引用次数: 3

摘要

基于它的恶意软件分析与检测是影响计算机安全的重要因素。尽管公司在反恶意软件解决方案上付出了巨大的努力,但通常不可能及时响应新的恶意软件,一些计算机将被感染。这个缺点可以通过使用行为恶意软件分析部分缓解。这项工作旨在为行为恶意软件分析目的进行机器学习算法比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Behavioral malware analysis algorithm comparison
Malware analysis and detection based on it is very important factor in the computer security. Despite of the enormous effort of companies making anti-malware solutions, it is usually not possible to respond to new malware in time and some computers will get infected. This shortcoming could be partially mitigated through using behavioral malware analysis. This work is aimed towards machine learning algorithms comparison for the behavioral malware analysis purposes.
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