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Management of the Results of Automated Malware Analysis

机译:自动化恶意软件分析结果的管理

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A variety of malware are created and distributed rapidly with technical development and popularization of the Internet. The automated malware analysis techniques are being actively studied to quickly cope with the rapidly increasing malware. The data gathered by automated malware analysis are used to classify and identify unknown malware in anti-virus companies and related organizations. To manage the results of automated malware analysis efficiently, a database design considering relationships between the behaviors and characteristics of malware is needed. In this paper, we propose a database design that can store the results of automated malware analysis based on PE (Portable Executable) files which are the most used in Windows OS.
机译:随着Internet的技术发展和普及,各种恶意软件被迅速创建和分发。正在积极研究自动恶意软件分析技术,以快速应对迅速增长的恶意软件。通过自动恶意软件分析收集的数据用于对反病毒公司和相关组织中的未知恶意软件进行分类和识别。为了有效地管理自动化恶意软件分析的结果,需要一种考虑恶意软件行为和特征之间关系的数据库设计。在本文中,我们提出了一种数据库设计,该设计可以存储基于Windows操作系统中最常用的PE(便携式可执行文件)文件的自动化恶意软件分析结果。

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