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» Network Intrusion Detection Using Genetic Clustering
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MASCOTS
2007
13 years 10 months ago
Improving the Performance of Passive Network Monitoring Applications using Locality Buffering
—In this paper, we present a novel approach for improving the performance of a large class of CPU and memory intensive passive network monitoring applications, such as intrusion ...
Antonis Papadogiannakis, Demetres Antoniades, Mich...
FLAIRS
2003
13 years 10 months ago
LIDS: Learning Intrusion Detection System
The detection of attacks against computer networks is becoming a harder problem to solve in the field of network security. The dexterity of the attackers, the developing technolog...
Mayukh Dass, James Cannady, Walter D. Potter
JCS
2002
100views more  JCS 2002»
13 years 8 months ago
STATL: An Attack Language for State-Based Intrusion Detection
STATL is an extensible state/transition-based attack description language designed to support intrusion detection. The language allows one to describe computer penetrations as seq...
Steve T. Eckmann, Giovanni Vigna, Richard A. Kemme...
FPL
2005
Springer
137views Hardware» more  FPL 2005»
14 years 2 months ago
Bitwise Optimised CAM for Network Intrusion Detection Systems
String pattern matching is a computationally expensive task, and when implemented in hardware, it can consume a large amount of resources for processing and storage. This paper pr...
Sherif Yusuf, Wayne Luk
HOLOMAS
2007
Springer
14 years 2 months ago
Agent Methods for Network Intrusion Detection and Response
While the need to build the Intrusion Detection Systems (IDS) based on on a distributed and cooperative (P2P) paradigm is being generally acknowledged, the field has been disconne...
Martin Rehák, Michal Pechoucek, David Medvi...