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» Packet pre-filtering for network intrusion detection
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CONEXT
2007
ACM
13 years 9 months ago
Detecting worm variants using machine learning
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...
Oliver Sharma, Mark Girolami, Joseph S. Sventek
GLOBECOM
2007
IEEE
14 years 1 months ago
Aggregated Bloom Filters for Intrusion Detection and Prevention Hardware
—Bloom Filters (BFs) are fundamental building blocks in various network security applications, where packets from high-speed links are processed using state-of-the-art hardwareba...
N. Sertac Artan, Kaustubh Sinkar, Jalpa Patel, H. ...
IISWC
2008
IEEE
14 years 1 months ago
A workload for evaluating deep packet inspection architectures
—High-speed content inspection of network traffic is an important new application area for programmable networking systems, and has recently led to several proposals for high-per...
Michela Becchi, Mark A. Franklin, Patrick Crowley
ICCCN
2007
IEEE
14 years 1 months ago
Fates: A Granular Approach to Real-Time Anomaly Detection
— Anomaly-based intrusion detection systems have the ability of detecting novel attacks, but in real-time detection, they face the challenges of producing many false alarms and f...
Jeff Janies, Chin-Tser Huang
ICEIS
2008
IEEE
14 years 1 months ago
Next-Generation Misuse and Anomaly Prevention System
Abstract. Network Intrusion Detection Systems (NIDS) aim at preventing network attacks and unauthorised remote use of computers. More accurately, depending on the kind of attack it...
Pablo Garcia Bringas, Yoseba K. Penya