TY - GEN
T1 - Network intrusion detection by using cellular neural network with Tabu Search
AU - Yang, Zhongxue
AU - Karahoca, Adem
AU - Yang, Ning
AU - Aydin, Nizamettin
PY - 2008
Y1 - 2008
N2 - This paper presents a novel Cellular Neural Network (CNN) templates learning approach based on Tabu Search (TS) for detecting network intrusions. The TS method was applied to CNN with symmetric templates and was verified by simulations. Simulation experiments on intrusion detection have shown that the TS-based template learning algorithm exhibits superior performance in computation time to find the optimal solution and in the solution quality in contrast to the algorithm of genetic algorithm (GA) and simulated annealing (SA).
AB - This paper presents a novel Cellular Neural Network (CNN) templates learning approach based on Tabu Search (TS) for detecting network intrusions. The TS method was applied to CNN with symmetric templates and was verified by simulations. Simulation experiments on intrusion detection have shown that the TS-based template learning algorithm exhibits superior performance in computation time to find the optimal solution and in the solution quality in contrast to the algorithm of genetic algorithm (GA) and simulated annealing (SA).
UR - http://www.scopus.com/inward/record.url?scp=52149096461&partnerID=8YFLogxK
U2 - 10.1109/BLISS.2008.29
DO - 10.1109/BLISS.2008.29
M3 - Conference contribution
AN - SCOPUS:52149096461
SN - 9780769532653
T3 - Proceedings BLISS 2008 - 2008 ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security
SP - 64
EP - 68
BT - Proceedings BLISS 2008 - 2008 ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security
T2 - 2008 ECSIS Symposium on Bioinspired, Learning, and Intelligent Systems for Security, BLISS-2008
Y2 - 4 August 2008 through 6 August 2008
ER -