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Akira Imada
Journal Article
Optimization of the Local Search in the Training for SAMANN Neural Network
Viktor Medvedev and Gintautas Dzemyda
Journal of Global Optimization, 2006, Volume 35, Number 4, Pages 607-623
Book Chapter
TCM-KNN Algorithm for Supervised Network Intrusion Detection
Yang Li, Bin-Xing Fang, Li Guo and You Chen
Lecture Notes in Computer Science, 2007, Volume 4430, Intelligence and Security Informatics, Pages 141-151
Application of Data Mining to Network Intrusion Detection: Classifier Selection Model
Huy Anh Nguyen and Deokjai Choi
Lecture Notes in Computer Science, 2008, Volume 5297, Challenges for Next Generation Network Operations and Service Management, Pages 399-408
Network Intrusion Detection Using Statistical Probability Distribution
Gil-Jong Mun, Yong-Min Kim, DongKook Kim and Bong-Nam Noh
Lecture Notes in Computer Science, 2006, Volume 3981, Computational Science and Its Applications - ICCSA 2006, Pages 340-348
System Intrusion Detection and Prevention
Joseph Migga Kizza
Computer Communications and Networks, 2009, A Guide to Computer Network Security, Part III, Pages 273-298
A PSO-Based Approach to Rule Learning in Network Intrusion Detection
Chen Guolong, Chen Qingliang and Guo Wenzhong
Advances in Soft Computing, 2007, Volume 40, Fuzzy Information and Engineering, Pages 666-673
A New Approach Based on Honeybee to Improve Intrusion Detection System Using Neural Network and Bees Algorithm
Ghassan Ahmed Ali and Aman Jantan
Communications in Computer and Information Science, 1, Volume 181, Software Engineering and Computer Systems, Part 6, Pages 777-792
Network Intrusion Detection with Workflow Feature Definition Using BP Neural Network
Yong Wang, Dawu Gu, Wei Li, Hongjiao Li and Jing Li
Lecture Notes in Computer Science, 2009, Volume 5551, Advances in Neural Networks – ISNN 2009, Pages 60-67
Engineering Knowledge Discovery in Network Intrusion Detection
Andrea Bosin, Nicoletta Dessì and Barbara Pes
Lecture Notes in Computer Science, 2004, Volume 3177, Intelligent Data Engineering and Automated Learning – IDEAL 2004, Pages 253-258
Variable Based Fuzzy Blocking Regression Model
Mika Sato-Ilic
Lecture Notes in Computer Science, 2007, Volume 4693, Knowledge-Based Intelligent Information and Engineering Systems, Pages 525-532
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