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» Intrusion Detection with Neural Networks
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GECCO
2009
Springer
152views Optimization» more  GECCO 2009»
14 years 2 months ago
Application of evolutionary algorithms in detection of SIP based flooding attacks
The Session Initiation Protocol (SIP) is the de facto standard for user’s session control in the next generation Voice over Internet Protocol (VoIP) networks based on the IP Mul...
M. Ali Akbar, Muddassar Farooq
CN
2004
256views more  CN 2004»
13 years 8 months ago
A line in the sand: a wireless sensor network for target detection, classification, and tracking
Intrusion detection is a surveillance problem of practical import that is well suited to wireless sensor networks. In this paper, we study the application of sensor networks to the...
Anish Arora, Prabal Dutta, Sandip Bapat, Vinod Kul...
COMCOM
2007
149views more  COMCOM 2007»
13 years 7 months ago
Adaptive security design with malicious node detection in cluster-based sensor networks
Distributed wireless sensor networks have problems on detecting and preventing malicious nodes, which always bring destructive threats and compromise multiple sensor nodes. Theref...
Meng-Yen Hsieh, Yueh-Min Huang, Han-Chieh Chao
IJON
2006
146views more  IJON 2006»
13 years 8 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang
ACMSE
2008
ACM
13 years 10 months ago
A distributed firewall and active response architecture providing preemptive protection
Firewalls provide very good network security features. However, classical perimeter firewall deployments suffer from limitations due to complex network topologies and the inabilit...
J. Lane Thames, Randal Abler, David Keeling