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» 802.11 network intrusion detection using genetic programming
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ICNC
2005
Springer
13 years 10 months ago
Applying Genetic Programming to Evolve Learned Rules for Network Anomaly Detection
The DARPA/MIT Lincoln Laboratory off-line intrusion detection evaluation data set is the most widely used public benchmark for testing intrusion detection systems. But the presence...
Chuanhuan Yin, Shengfeng Tian, Houkuan Huang, Jun ...
GECCO
2005
Springer
183views Optimization» more  GECCO 2005»
13 years 10 months ago
802.11 network intrusion detection using genetic programming
Genetic Programming (GP) based Intrusion Detection Systems (IDS) use connection state network data during their training phase. These connection states are recorded as a set of fe...
Patrick LaRoche, A. Nur Zincir-Heywood
IWINAC
2005
Springer
13 years 10 months ago
MEPIDS: Multi-Expression Programming for Intrusion Detection System
Abstract. An Intrusion Detection System (IDS) is a program that analyzes what happens or has happened during an execution and tries to find indications that the computer has been ...
Crina Grosan, Ajith Abraham, Sang-Yong Han
ADHOCNETS
2009
Springer
13 years 9 months ago
Power-Aware Intrusion Detection in Mobile Ad Hoc Networks
Mobile ad hoc networks (MANETs) are a highly promising new form of networking. However they are more vulnerable to attacks than wired networks. In addition, conventional intrusion ...
Sevil Sen, John A. Clark, Juan E. Tapiador
IEAAIE
2004
Springer
13 years 10 months ago
Modeling Intrusion Detection Systems Using Linear Genetic Programming Approach
This paper investigates the suitability of linear genetic programming (LGP) technique to model efficient intrusion detection systems, while comparing its performance with artificia...
Srinivas Mukkamala, Andrew H. Sung, Ajith Abraham