Static Analysis of Malicious Java Applets

N. Ganesh, Fabio Di Troia, C. A. Visaggio, Thomas H. Austin, M. Stamp
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引用次数: 12

Abstract

In this research we consider the problem of detecting malicious Java applets, based on static analysis. Dynamic analysis can be more informative, since it is immune to many common obfuscation techniques, while static analysis is often more efficient, since it does not require code execution or emulation. Consequently, static analysis is generally preferred, provided the results are comparable to those obtained using dynamic analysis. We conduct experiments using three techniques that have been employed in previous studies of metamorphic malware. We show that our static approach can detect malicious Java applets with greater accuracy than previously published research that relied on dynamic analysis.
恶意Java小程序的静态分析
在本研究中,我们考虑了基于静态分析的恶意Java小程序检测问题。动态分析可以提供更多信息,因为它不受许多常见混淆技术的影响,而静态分析通常更有效,因为它不需要执行代码或模拟。因此,静态分析通常是首选的,只要结果与使用动态分析获得的结果相当。我们使用在以前的变形恶意软件研究中使用的三种技术进行实验。我们表明,我们的静态方法可以比以前发表的依赖于动态分析的研究更准确地检测恶意Java小程序。
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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