A Context-Based Detection Framework for Advanced Persistent Threats

P. Giura, Wei Wang
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引用次数: 86

Abstract

Besides a large set of malware categories such as worms and Trojan horses, Advanced Persistent Threat (APT) is another more sophisticated attack entity emerging in the cyber threats environment. In this paper we propose a model of the APT detection problem as well as a methodology to implement it on a generic organization network. From our knowledge, the proposed method is the first to address the problem of modeling an APT and to provide a possible detection framework.
基于上下文的高级持续威胁检测框架
除了蠕虫和特洛伊木马等大量恶意软件类别外,高级持续威胁(APT)是网络威胁环境中出现的另一种更复杂的攻击实体。在本文中,我们提出了一个APT检测问题的模型以及在通用组织网络上实现它的方法。据我们所知,提出的方法是第一个解决APT建模问题并提供可能的检测框架的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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