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2008 Bio-inspired, Learning and Intelligent Systems for Security
Network Intrusion Detection by Using Cellular Neural Network with Tabu Search
August 04-August 06
ISBN: 978-0-7695-3265-3
| ASCII Text | x | ||
| Zhongxue Yang, Adem Karahoca, Ning Yang, Nizamettin Aydin, "Network Intrusion Detection by Using Cellular Neural Network with Tabu Search," 2009 Symposium on Bio-inspired Learning and Intelligent Systems for Security, pp. 64-68, 2008 Bio-inspired, Learning and Intelligent Systems for Security, 2008. | |||
| BibTex | x | ||
| @article{ 10.1109/BLISS.2008.29, author = {Zhongxue Yang and Adem Karahoca and Ning Yang and Nizamettin Aydin}, title = {Network Intrusion Detection by Using Cellular Neural Network with Tabu Search}, journal ={2009 Symposium on Bio-inspired Learning and Intelligent Systems for Security}, volume = {0}, year = {2008}, isbn = {978-0-7695-3265-3}, pages = {64-68}, doi = {http://doi.ieeecomputersociety.org/10.1109/BLISS.2008.29}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2009 Symposium on Bio-inspired Learning and Intelligent Systems for Security TI - Network Intrusion Detection by Using Cellular Neural Network with Tabu Search SN - 978-0-7695-3265-3 SP64 EP68 A1 - Zhongxue Yang, A1 - Adem Karahoca, A1 - Ning Yang, A1 - Nizamettin Aydin, PY - 2008 KW - Tabu search KW - Cellular Neural Networks KW - templates learning KW - optimal solution KW - Intrusion detection VL - 0 JA - 2009 Symposium on Bio-inspired Learning and Intelligent Systems for Security ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BLISS.2008.29
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).
Index Terms:
Tabu search, Cellular Neural Networks, templates learning, optimal solution, Intrusion detection
Citation:
Zhongxue Yang, Adem Karahoca, Ning Yang, Nizamettin Aydin, "Network Intrusion Detection by Using Cellular Neural Network with Tabu Search," bliss, pp.64-68, 2008 Bio-inspired, Learning and Intelligent Systems for Security, 2008
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