Network Security White Papers
Learning and Classification of Malware Behavior
Overview Malicious software in form of Internet worms, computer viruses, and Trojan horses poses a major threat to the security of networked systems. The diversity and amount of its variants severely undermine the effectiveness of classical signature-based detection. Yet variants of malware families share typical behavioral patterns reflecting its origin and purpose. The paper aims to exploit these shared patterns for classification of malware and propose a method for learning and discrimination of malware behavior.
| Publisher | University of Tubingen | File Format | |
|---|---|---|---|
| Date Published | May 2008 | ||
| Format | White Papers | ||
| Topics | |||
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