Network intrusion detection by using cellular neural network with Tabu Search

Zhongxue Yang*, Adem Karahoca, Ning Yang, Nizamettin Aydin

*Bu çalışma için yazışmadan sorumlu yazar

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5 Atıf (Scopus)

Özet

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).

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıProceedings BLISS 2008 - 2008 ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security
Sayfalar64-68
Sayfa sayısı5
DOI'lar
Yayın durumuYayınlandı - 2008
Harici olarak yayınlandıEvet
Etkinlik2008 ECSIS Symposium on Bioinspired, Learning, and Intelligent Systems for Security, BLISS-2008 - Edinburgh, United Kingdom
Süre: 4 Ağu 20086 Ağu 2008

Yayın serisi

AdıProceedings BLISS 2008 - 2008 ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security

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???event.eventtypes.event.conference???2008 ECSIS Symposium on Bioinspired, Learning, and Intelligent Systems for Security, BLISS-2008
Ülke/BölgeUnited Kingdom
ŞehirEdinburgh
Periyot4/08/086/08/08

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