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» Intrusion Detection with Neural Networks
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VTC
2006
IEEE
179views Communications» more  VTC 2006»
14 years 1 months ago
Design of a Joint Defense System for Mobile Ad Hoc Networks
— A mobile ad hoc network (MANET) is vulnerable to malicious attacks although it is suitable for various environments because of its rapid establishment. In order to set up a sec...
Huei-Wen Ferng, Chien-Liang Liu
ISICA
2009
Springer
14 years 2 months ago
Detecting Network Anomalies Using CUSUM and EM Clustering
Abstract. Intrusion detection has been extensively studied in the last two decades. However, most existing intrusion detection techniques detect limited number of attack types and ...
Wei Lu, Hengjian Tong
MOBICOM
2000
ACM
14 years 7 days ago
Intrusion detection in wireless ad-hoc networks
As the recent denial-of-service attacks on several major Internet sites have shown us, no open computer network is immune from intrusions. The wireless ad-hoc network is particula...
Yongguang Zhang, Wenke Lee
IJNSEC
2006
132views more  IJNSEC 2006»
13 years 7 months ago
Alert Correlation for Extracting Attack Strategies
Alert correlation is an important technique for managing large the volume of intrusion alerts that are raised by heterogenous Intrusion Detection Systems (IDSs). The recent trend ...
Bin Zhu, Ali A. Ghorbani
GECCO
2008
Springer
196views Optimization» more  GECCO 2008»
13 years 9 months ago
A fuzzy-genetic approach to network intrusion detection
Computer networks have expanded significantly in use and numbers. This expansion makes them more vulnerable to attack by malicious agents. Many current intrusion detection systems...
Terrence P. Fries