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» Intrusion Detection with Neural Networks
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EVOW
2009
Springer
14 years 3 days ago
Efficient Signal Processing and Anomaly Detection in Wireless Sensor Networks
In this paper the node-level decision unit of a self-learning anomaly detection mechanism for office monitoring with wireless sensor nodes is presented. The node-level decision uni...
Markus Wälchli, Torsten Braun
ISI
2008
Springer
13 years 8 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
RAID
1999
Springer
14 years 15 days ago
Intrusion Detection for an On-Going Attack
An intrusion-detection system (IDS) for an on-going attack is described. Prior to an attack, an IDS operates in anticipation of a general threat. During an attack, the IDS can dea...
Jim Yuill, Shyhtsun Felix Wu, Fengmin Gong, Ming-Y...
ICC
2007
IEEE
147views Communications» more  ICC 2007»
14 years 2 months ago
A Cooperative AIS Framework for Intrusion Detection
Abstract— We present a cooperative intrusion detection approach inspired by biological immune system principles and P2P communication techniques to develop a distributed anomaly ...
Katja Luther, Rainer Bye, Tansu Alpcan, Achim M&uu...
ASIAN
2004
Springer
117views Algorithms» more  ASIAN 2004»
14 years 1 months ago
The Feature Selection and Intrusion Detection Problems
Cyber security is a serious global concern. The potential of cyber terrorism has posed a threat to national security; meanwhile the increasing prevalence of malware and incidents o...
Andrew H. Sung, Srinivas Mukkamala