Intrusion detection via static analysis

D. Wagner, Drew Dean
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引用次数: 773

Abstract

One of the primary challenges in intrusion detection is modelling typical application behavior so that we can recognize attacks by their atypical effects without raising too many false alarms. We show how static analysis may be used to automatically derive a model of application behavior. The result is a host-based intrusion detection system with three advantages: a high degree of automation, protection against a broad class of attacks based on corrupted code, and the elimination of false alarms. We report on our experience with a prototype implementation of this technique.
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通过静态分析进行入侵检测
入侵检测的主要挑战之一是对典型的应用程序行为进行建模,以便我们能够根据其非典型效果识别攻击,而不会引起太多的假警报。我们将展示如何使用静态分析来自动派生应用程序行为模型。其结果是基于主机的入侵检测系统具有三个优点:高度自动化,防止基于损坏代码的各种攻击,消除假警报。我们将报告我们使用该技术的原型实现的经验。
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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