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» A behavioral approach to worm detection
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RAID
2010
Springer
14 years 7 months ago
CANVuS: Context-Aware Network Vulnerability Scanning
Enterprise networks face a variety of threats including worms, viruses, and DDoS attacks. Development of effective defenses against these threats requires accurate inventories of n...
Yunjing Xu, Michael Bailey, Eric Vander Weele, Far...
RAID
2004
Springer
15 years 3 months ago
Anomaly Detection Using Layered Networks Based on Eigen Co-occurrence Matrix
Anomaly detection is a promising approach to detecting intruders masquerading as valid users (called masqueraders). It creates a user profile and labels any behavior that deviates...
Mizuki Oka, Yoshihiro Oyama, Hirotake Abe, Kazuhik...
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IAT
2006
IEEE
15 years 3 months ago
Empirical Analysis for Agent System Comprehension and Verification
Comprehending and verifying agent system behavior is an arduous task when dealing with complex multiagent systems whose behaviors are sophisticated. This paper presents an approac...
Tibor Bosse, Dung N. Lam, K. Suzanne Barber
INFOCOM
2003
IEEE
15 years 3 months ago
Modeling Malware Spreading Dynamics
— In this paper we present analytical techniques that can be used to better understand the behavior of malware, a generic term that refers to all kinds of malicious software prog...
Michele Garetto, Weibo Gong, Donald F. Towsley
MICCAI
2001
Springer
15 years 2 months ago
Deformable Organisms for Automatic Medical Image Analysis
We introduce a new paradigm for automatic medical image analysis that adopts concepts from the field of Artificial Life. Our approach prescribes deformable organisms, autonomous ag...
Ghassan Hamarneh, Tim McInerney, Demetri Terzopoul...