An Empirical Study of Metric-Based Methods to Detect Obfuscated Code

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Provided by: University of San Francisco
Topic: Security
Format: PDF
Protecting data and applications from malware and other forms of malicious code has assumed a great relevance in the current era of pervasive web-based applications. Attackers often use code obfuscation to hide harmful programs from automatic detection. Several researchers have proposed methods to classify an unknown program as malicious or benign; however, little work has been done to identify obfuscated code. A promising approach to detect obfuscated code consists of using a set of metrics, collected by static analysis, to classify a program.
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