APT Detection with Concolic Execution

Yunfei Su, Mengjun Li, Chaojing Tang, Rongjun Shen
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Abstract

Advanced persistent threat (APT) is sophisticated cyber-attack and has attracted lots of attention of security researchers in cybersecurity. Traditional defense measures based on signature matching such as antivirus products and IDS/IPS are insufficient to detect APT. Concolic(a portmanteau of CONCrete and SymbOLIC) execution is a hybrid software verification technique that performs symbolic execution which could be used for APT detection. In this paper, we proposed a framework of APT detection which includes network traffic redirection module, user agent, reconstruction module, dynamic analysis module and response module. With the help of concolic execution in dynamic analysis module, the framework could effectively and accurately detect APT attacks compared with current defense systems. We provide a detailed example to illustrate how the framework works against APT attacks especially passive attacks.
与Concolic执行APT检测
高级持续威胁(APT)是一种复杂的网络攻击,受到网络安全研究人员的广泛关注。传统的基于特征匹配的防御措施如防病毒产品、IDS/IPS等已不足以检测APT。Concolic(CONCrete和SymbOLIC的合成词)执行是一种通过符号执行的混合软件验证技术,可用于APT检测。本文提出了一个APT检测框架,该框架包括网络流量重定向模块、用户代理模块、重构模块、动态分析模块和响应模块。与现有的防御系统相比,该框架通过动态分析模块的协同执行,能够有效、准确地检测APT攻击。我们提供了一个详细的示例来说明该框架如何应对APT攻击,特别是被动攻击。
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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