为实时动态分析检测API挂钩

Salah Mohammed A. F., M. F. Marhusin, R. Sulaiman
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引用次数: 3

摘要

检测恶意软件有多种方法。其中,动态分析是检测未知恶意软件的关键技术。动态分析通过提供可执行文件的执行行为信息来监视其行为。由于恶意软件的复杂性正在增加,因此监控恶意软件并研究恶意软件的行为以帮助检测它是很重要的。在本文中,我们重点介绍了观察可移植可执行程序执行行为的检测技术。我们简要地探讨了一些相关的工作。我们讨论了动态分析和Windows API调用。我们讨论了我们的实时行为监视器。解释了n-gram的概念,在结束之前,强调了几个挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Instrumenting API Hooking for a Realtime Dynamic Analysis
There are various approaches to detect malware. Among them is via dynamic analysis which is a very essential technique capable of detecting unknown malware. The dynamic analysis monitors the behaviour of the executable by providing its execution behaviour information. Since the complexity of the malware is increasing, it is important to monitor the malware and study how malware behaves to help in detecting it. In this paper, we highlighted the instrumentation technique to observe behaviour of Portable Executable execution. We briefly explored some of the related works. We discussed about dynamic analysis and Windows API Calls. We discussed on our realtime behaviour monitor. The concept of n-gram was explained and before concluding, several challenges were highlighted.
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