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» Active learning for network intrusion detection
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CCS
2007
ACM
14 years 4 months ago
Network anomaly detection based on TCM-KNN algorithm
Intrusion detection is a critical component of secure information systems. Network anomaly detection has been an active and difficult research topic in the field of Intrusion Dete...
Yang Li, Binxing Fang, Li Guo, You Chen
ISI
2008
Springer
13 years 10 months ago
Analysis of cyberactivism: A case study of online free Tibet activities
In this paper, we study the problem of anomaly detection in high-dimensional network streams. We have developed a new technique, called Stream Projected Ouliter deTector (SPOT), t...
Tianjun Fu, Hsinchun Chen
SIGMETRICS
2003
ACM
136views Hardware» more  SIGMETRICS 2003»
14 years 3 months ago
Internet intrusions: global characteristics and prevalence
Network intrusions have been a fact of life in the Internet for many years. However, as is the case with many other types of Internet-wide phenomena, gaining insight into the glob...
Vinod Yegneswaran, Paul Barford, Johannes Ullrich
JSS
2002
198views more  JSS 2002»
13 years 10 months ago
Automated discovery of concise predictive rules for intrusion detection
This paper details an essential component of a multi-agent distributed knowledge network system for intrusion detection. We describe a distributed intrusion detection architecture...
Guy G. Helmer, Johnny S. Wong, Vasant Honavar, Les...
IJNSEC
2008
129views more  IJNSEC 2008»
13 years 10 months ago
LAMAIDS: A Lightweight Adaptive Mobile Agent-based Intrusion Detection System
Intrusion detection system (IDS) has become an essential component of a computer security scheme as the number of security-breaking attempts originating inside organizations is in...
Mohamad A. Eid, Hassan Artail, Ayman I. Kayssi, Al...