Language-based generation and evaluation of NIDS signatures

Shai Rubin, S. Jha, B. Miller
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引用次数: 40

Abstract

We present a methodology to automatically construct robust signatures whose accuracy is based on formal reasoning so it can be systematically evaluated. Our methodology is based on two formal languages that describe different properties of a given attack. The first language, called a session signature, describes temporal relations between the attack events. The second, called an attack invariant, describes semantic properties that hold in any instance of the attack. For example, an invariant may state that a given FTP attack must include a successful FTP login and can be launched only after the FTP representation mode has been set to ASCII. We iteratively eliminate false positives and negatives from an initial session signature by comparing the signature language to the language of the invariant. We developed GARD, a tool for session-signature construction, and used it to construct session signatures for multi-step attacks. We show that a session signature is more accurate than existing signatures.
基于语言的入侵入侵特征生成与评估
我们提出了一种自动构建鲁棒签名的方法,其准确性基于形式推理,因此可以系统地评估。我们的方法基于描述给定攻击的不同属性的两种形式语言。第一种语言称为会话签名,描述攻击事件之间的时间关系。第二种称为攻击不变量,描述在任何攻击实例中都保持的语义属性。例如,一个不变量可能声明一个给定的FTP攻击必须包含一个成功的FTP登录,并且只有在FTP表示模式被设置为ASCII之后才能启动。我们通过比较签名语言和不变量语言来迭代地消除初始会话签名中的假阳性和假阴性。我们开发了会话签名构建工具GARD,并使用它来构建针对多步攻击的会话签名。我们证明了会话签名比现有签名更准确。
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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