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» A behavioral approach to worm detection
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CMS
2006
14 years 11 months ago
TAO: Protecting Against Hitlist Worms Using Transparent Address Obfuscation
Abstract. Sophisticated worms that use precomputed hitlists of vulnerable targets are especially hard to contain, since they are harder to detect, and spread at rates where even au...
Spyros Antonatos, Kostas G. Anagnostakis
INFOCOM
2011
IEEE
14 years 1 months ago
Network-aware behavior clustering of Internet end hosts
Abstract—This paper explores the behavior similarity of Internet end hosts in the same network prefixes. We use bipartite graphs to model network traffic, and then construct on...
Kuai Xu, Feng Wang 0002, Lin Gu
ASPLOS
2006
ACM
15 years 3 months ago
Temporal search: detecting hidden malware timebombs with virtual machines
Worms, viruses, and other malware can be ticking bombs counting down to a specific time, when they might, for example, delete files or download new instructions from a public we...
Jedidiah R. Crandall, Gary Wassermann, Daniela A. ...
USS
2008
14 years 12 months ago
To Catch a Predator: A Natural Language Approach for Eliciting Malicious Payloads
We present an automated, scalable, method for crafting dynamic responses to real-time network requests. Specifically, we provide a flexible technique based on natural language pro...
Sam Small, Joshua Mason, Fabian Monrose, Niels Pro...
CEEMAS
2007
Springer
15 years 3 months ago
Agent-Based Network Protection Against Malicious Code
This paper presents an agent-based approach to Network Intrusion Prevention on corporate networks, emphasizing the protection from fast-spreading mobile malicious code outbreaks (e...
Martin Rehák, Michal Pechoucek, Jan Tozicka...