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» Network Intrusion Detection Using Genetic Clustering
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GECCO
2003
Springer
139views Optimization» more  GECCO 2003»
14 years 1 months ago
Daily Stock Prediction Using Neuro-genetic Hybrids
We propose a neuro-genetic daily stock prediction model. Traditional indicators of stock prediction are utilized to produce useful input features of neural networks. The genetic al...
Yung-Keun Kwon, Byung Ro Moon
CNSR
2007
IEEE
14 years 3 months ago
Testing Intrusion Detection Systems in MANET: A Comprehensive Study
In this paper, we study the problem of testing Intrusion Detection Systems (IDS) in Mobile Ad hoc Networks (MANET). Testing is achieved by simulating different measurements. We mo...
Hadi Otrok, Joey Paquet, Mourad Debbabi, Prabir Bh...
ISCC
2003
IEEE
140views Communications» more  ISCC 2003»
14 years 1 months ago
A Low-Energy Key Management Protocol for Wireless Sensor Networks
Sensor networks have recently gained popularity for a wide spectrum of applications. When performing monitoring tasks in hostile environments, security requirements become critical...
Gaurav Jolly, Mustafa C. Kusçu, Pallavi Kok...
RAID
2005
Springer
14 years 2 months ago
Behavioral Distance for Intrusion Detection
We introduce a notion, behavioral distance, for evaluating the extent to which processes—potentially running different programs and executing on different platforms—behave si...
Debin Gao, Michael K. Reiter, Dawn Xiaodong Song
EGC
2005
Springer
14 years 2 months ago
Towards a Grid-wide Intrusion Detection System
We describe SANTA-G (Grid-enabled System Area Networks Trace Analysis), an instrument monitoring framework that uses the RGMA (Relational Grid Monitoring Architecture). We describe...
Stuart Kenny, Brian A. Coghlan