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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
ACSAC
2001
IEEE
13 years 11 months ago
eXpert-BSM: A Host-Based Intrusion Detection Solution for Sun Solaris
eXpert-BSM is a real time forward-reasoning expert system that analyzes Sun Solaris audit trails. Based on many years of intrusion detection research, eXpert-BSM's knowledge ...
Ulf Lindqvist, Phillip A. Porras
CIIT
2004
127views Communications» more  CIIT 2004»
13 years 9 months ago
OLSIM: Up-to-date traffic information on the web
The Internet is a convenient platform to distribute real time traffic information. Thus, we propose a web-based visualization of the current and future traffic load of the entire ...
Andreas Pottmeier, Roland Chrobok, Sigurdur F. Haf...
ICCS
2007
Springer
13 years 11 months ago
Unusual Event Recognition for Mobile Alarm System
This paper proposes an unusual event recognition algorithm, which is a part of a mobile alarm system. Our systems focus on unusual event. When the system detects the unusual event,...
Soo Yeong Kwak, Guntae Bae, Kil-Cheon Kim, Hyeran ...
TMA
2010
Springer
150views Management» more  TMA 2010»
13 years 5 months ago
A Database of Anomalous Traffic for Assessing Profile Based IDS
This paper aims at proposing a methodology for evaluating current IDS capabilities of detecting attacks targeting the networks and their services. This methodology tries to be as r...
Philippe Owezarski