Intelligent feature selection and classification techniques for intrusion detection in networks: a survey
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Arputharaj Kannan | Muthuswamy Vijayalakshmi | Sannasi Ganapathy | Yogesh Palanichamy | Kanagasabai Kulothungan | Sannasy Muthurajkumar | K. Kulothungan | A. Kannan | S. Ganapathy | P. Yogesh | Yogesh Palanichamy | S. Muthurajkumar | M. Vijayalakshmi | Muthusamy Vijayalakshmi
[1] Malcolm I. Heywood,et al. Scaling Genetic Programming to Large Datasets Using Hierarchical Dynamic Subset Selection , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[2] E. Nazemi,et al. An Agent - Based Architecture with Centralized Management for a Distance Learning System , 2007, International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007).
[3] Hervé Debar,et al. A neural network component for an intrusion detection system , 1992, Proceedings 1992 IEEE Computer Society Symposium on Research in Security and Privacy.
[4] Jeng-Shyang Pan,et al. Fourth International Conference on Innovative, Computing, Information and Control , 2009 .
[5] James A. Mahaffey,et al. Multiple Self-Organizing Maps for Intrusion Detection , 2000 .
[6] Hafiz Farooq Ahmad,et al. Honey Bee Teamwork Architecture in Multi-agent Systems , 2006, CSCWD.
[7] Hang Zhou,et al. Design of a Multi-agent Based Intelligent Intrusion Detection System , 2006, 2006 First International Symposium on Pervasive Computing and Applications.
[8] Zihui Che,et al. An Efficient Intrusion Detection Approach Based on Hidden Markov Model and Rough Set , 2010, 2010 International Conference on Machine Vision and Human-machine Interface.
[9] Kien A. Hua,et al. Decision tree classifier for network intrusion detection with GA-based feature selection , 2005, ACM Southeast Regional Conference.
[10] Peter Mell,et al. A denial-of-service resistant intrusion detection architecture , 2000, Comput. Networks.
[11] Philip J. Morrow,et al. Security Schemes for a Mobile Agent Based Network and System Management Framework , 2011, Journal of Network and Systems Management.
[12] David G. Stork,et al. Pattern Classification (2nd ed.) , 1999 .
[13] Azuraliza Abu Bakar,et al. An Agent Based Rough Classifier for Data Mining , 2008, 2008 Eighth International Conference on Intelligent Systems Design and Applications.
[14] Kotagiri Ramamohanarao,et al. Layered Approach Using Conditional Random Fields for Intrusion Detection , 2010, IEEE Transactions on Dependable and Secure Computing.
[15] Mohamed Mezghiche,et al. A Distributed Intrusion Detection Model Based on a Society of Intelligent Mobile Agents for Ad Hoc Network , 2011, 2011 Sixth International Conference on Availability, Reliability and Security.
[16] Yinhui Li,et al. An efficient intrusion detection system based on support vector machines and gradually feature removal method , 2012, Expert Syst. Appl..
[17] Jian-An Fang,et al. Intrusion Detection Model Based on Hierarchical Fuzzy Inference System , 2009, 2009 Second International Conference on Information and Computing Science.
[18] Salem Benferhat,et al. On the combination of naive Bayes and decision trees for intrusion detection , 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).
[19] Larry D. Wittie,et al. Application of a “Staggered Walk” Algorithm for Generating Large-Scale Morphological Neuronal Networks , 2012, Comput. Intell. Neurosci..
[20] Roberto Battiti,et al. Using mutual information for selecting features in supervised neural net learning , 1994, IEEE Trans. Neural Networks.
[21] Antanas Verikas,et al. Feature selection with neural networks , 2002, Pattern Recognit. Lett..
[22] Ron Kohavi,et al. Wrappers for Feature Subset Selection , 1997, Artif. Intell..
[23] Tzuu-Hseng S. Li,et al. Construction of a neuron-fuzzy classification model based on feature-extraction approach , 2011, Expert Syst. Appl..
[24] Ali A. Ghorbani,et al. A detailed analysis of the KDD CUP 99 data set , 2009, 2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications.
[25] Arthur C. Graesser,et al. Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents , 1996, ATAL.
[26] Mario Vento,et al. To reject or not to reject: that is the question-an answer in case of neural classifiers , 2000, IEEE Trans. Syst. Man Cybern. Part C.
[27] Nikolai Joukov,et al. INTERNET WORMS AS INTERNET-WIDE THREAT , 2003 .
[28] Nicholas R. Jennings,et al. Intelligent Agents III. Agent Theories, Architectures, and Languages ECAI'96 Workshop (ATAL), Budapest, Hungary, August 12-13, 1996, Proceedings , 1997 .
[29] K.M. Passino. Systems Biology of Group Decision Making , 2006, 2006 14th Mediterranean Conference on Control and Automation.
[30] Nasser Yazdani,et al. Mutual information-based feature selection for intrusion detection systems , 2011, J. Netw. Comput. Appl..
[31] Shigeo Abe DrEng. Pattern Classification , 2001, Springer London.
[32] Kazuyuki Murase,et al. A new wrapper feature selection approach using neural network , 2010, Neurocomputing.
[33] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[34] S. T. Sarasamma,et al. Hierarchical Kohonenen net for anomaly detection in network security , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[35] Chi-Ho Tsang,et al. Multi-agent intrusion detection system in industrial network using ant colony clustering approach and unsupervised feature extraction , 2005, 2005 IEEE International Conference on Industrial Technology.
[36] Da-Xin Tian,et al. ANNIDS: intrusion detection system based on artificial neural network , 2003, Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693).
[37] Salvatore J. Stolfo,et al. Cost-based modeling for fraud and intrusion detection: results from the JAM project , 2000, Proceedings DARPA Information Survivability Conference and Exposition. DISCEX'00.
[38] William Stallings,et al. Cryptography and Network Security: Principles and Practice , 1998 .
[39] David G. Stork,et al. Pattern Classification , 1973 .
[40] Huan Liu,et al. Toward integrating feature selection algorithms for classification and clustering , 2005, IEEE Transactions on Knowledge and Data Engineering.
[41] Horst F. Wedde,et al. A novel class of multi-agent algorithms for highly dynamic transport planning inspired by honey bee behavior , 2007, 2007 IEEE Conference on Emerging Technologies and Factory Automation (EFTA 2007).
[42] Arputharaj Kannan,et al. Intelligent Agent-Based Intrusion Detection System Using Enhanced Multiclass SVM , 2012, Comput. Intell. Neurosci..
[43] Jeich Mar,et al. An ANFIS-IDS against deauthentication DOS attacks for a WLAN , 2010, 2010 International Symposium On Information Theory & Its Applications.
[44] Nasser Ghadiri,et al. An Adaptive Hybrid Architecture for Intrusion Detection Based on Fuzzy Clustering and RBF Neural Networks , 2011, 2011 Ninth Annual Communication Networks and Services Research Conference.
[45] Arputharaj Kannan,et al. Decision tree based light weight intrusion detection using a wrapper approach , 2012, Expert Syst. Appl..
[46] Justin Doak,et al. An evaluation of feature selection methods and their application to computer security , 1992 .
[47] Johan A. K. Suykens,et al. Least squares support vector machine classifiers: a large scale algorithm , 1999 .
[48] R.K. Cunningham,et al. Evaluating intrusion detection systems: the 1998 DARPA off-line intrusion detection evaluation , 2000, Proceedings DARPA Information Survivability Conference and Exposition. DISCEX'00.
[49] Antonio Bicchi,et al. Decentralized intrusion detection for secure cooperative multi-agent systems , 2007, 2007 46th IEEE Conference on Decision and Control.
[50] Sreeram Ramakrishnan,et al. A hybrid approach for feature subset selection using neural networks and ant colony optimization , 2007, Expert Syst. Appl..
[51] Michael Wooldridge,et al. Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages , 1996 .
[52] Xu Zhang,et al. Intrusion detection based on ant colony algorithm of fuzzy clustering , 2011, Proceedings of 2011 International Conference on Computer Science and Network Technology.
[53] Patrick van der Smagt,et al. Introduction to neural networks , 1995, The Lancet.
[54] Stefanos Koutsoutos,et al. A Classifier Ensemble Approach to Intrusion Detection for Network-Initiated Attacks , 2007, Emerging Artificial Intelligence Applications in Computer Engineering.
[55] Qiang Zhang,et al. A Bee Swarm Genetic Algorithm for the Optimization of DNA Encoding , 2008, 2008 3rd International Conference on Innovative Computing Information and Control.
[56] Thomas Magedanz,et al. Intelligent agents: an emerging technology for next generation telecommunications? , 1996, Proceedings of IEEE INFOCOM '96. Conference on Computer Communications.
[57] Bijendra Patel,et al. Evaluating trainee experience of surgical skills teaching , 2014 .
[58] Heidar A. Malki,et al. Network Intrusion Detection System Using Neural Networks , 2008, 2008 Fourth International Conference on Natural Computation.
[59] Michael N. Huhns,et al. Multiagent-Based Fault Tolerance Management for Robustness , 2008 .
[60] Michael A. Demetriou,et al. Proceedings of the 46th IEEE Conference on Decision and Control , 2007, IEEE Conference on Decision and Control.
[61] Beizhan Wang,et al. Feature selection based on Rough set and modified genetic algorithm for intrusion detection , 2010, 2010 5th International Conference on Computer Science & Education.
[62] Milos Manic,et al. Neural Network based Intrusion Detection System for critical infrastructures , 2009, 2009 International Joint Conference on Neural Networks.
[63] Lotfi A. Zadeh,et al. Roles of Soft Computing and Fuzzy Logic in the Conception, Design and Deployment of Information/Intelligent Systems , 1998 .
[64] Mehdi MORADI,et al. A Neural Network Based System for Intrusion Detection and Classification of Attacks , 2004 .
[65] Vasant Honavar,et al. Towards the automatic generation of mobile agents for distributed intrusion detection system , 2006, J. Syst. Softw..
[66] Ingoo Han,et al. The neural network models for IDS based on the asymmetric costs of false negative errors and false positive errors , 2003, Expert Syst. Appl..
[67] Jing Xu,et al. Intrusion Detection Method Based on Fuzzy Hidden Markov Model , 2009, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery.
[68] Hong Gu,et al. Anomaly detection combining one-class SVMs and particle swarm optimization algorithms , 2010 .
[69] Kazuyuki Murase,et al. A new hybrid ant colony optimization algorithm for feature selection , 2012, Expert Syst. Appl..
[70] Hui-Hua Yang,et al. Ant colony optimization based network intrusion feature selection and detection , 2005, 2005 International Conference on Machine Learning and Cybernetics.
[71] Adel Nadjaran Toosi,et al. A new approach to intrusion detection based on an evolutionary soft computing model using neuro-fuzzy classifiers , 2007, Comput. Commun..
[72] Huaiqing Wang,et al. A discretization algorithm based on a heterogeneity criterion , 2005, IEEE Transactions on Knowledge and Data Engineering.
[73] N. Balakrishnan,et al. Improvement in Intrusion Detection With Advances in Sensor Fusion , 2009, IEEE Transactions on Information Forensics and Security.
[74] Goldberg,et al. Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.
[75] David G. Stork,et al. Pattern classification, 2nd Edition , 2000 .
[76] Weidong Jin,et al. Multi-agent system for Worm Detection and Containment in Metropolitan Area Networks , 2006 .
[77] Ajith Abraham,et al. Feature deduction and ensemble design of intrusion detection systems , 2005, Comput. Secur..
[78] Teng Shaohua,et al. Intrusion Detection Based on Fuzzy Support Vector Machines , 2009, 2009 International Conference on Networks Security, Wireless Communications and Trusted Computing.
[79] Horst F. Wedde,et al. Highly Dynamic and Adaptive Traffic Congestion Avoidance in Real-Time Inspired by Honey Bee Behavior , 2007, PEARL.
[80] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[81] Morteza Amini,et al. RT-UNNID: A practical solution to real-time network-based intrusion detection using unsupervised neural networks , 2006, Comput. Secur..
[82] Arputharaj Kannan,et al. An Intelligent Agent Based Intrusion Detection System Using Fuzzy Rough Set Based Outlier Detection , 2012, Soft Computing Techniques in Vision Science.
[83] Hongle Du,et al. Fuzzy Multi-Class Support Vector Machines for cooperative network intrusion detection , 2010, 9th IEEE International Conference on Cognitive Informatics (ICCI'10).
[84] Daniel T. Larose,et al. Discovering Knowledge in Data: An Introduction to Data Mining , 2005 .
[85] Okyay Kaynak,et al. Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications , 1998, NATO ASI Series.
[86] A. Gupta,et al. SWAN: A Swarm Intelligence Based Framework for Network Management of IP Networks , 2007, International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007).
[87] Jian-An Fang,et al. Research on Neuro-fuzzy Inference System in Hierarchical Intrusion Detection , 2009, 2009 International Conference on Information Technology and Computer Science.
[88] Masoud Nikravesh,et al. Feature Extraction - Foundations and Applications , 2006, Feature Extraction.
[89] Sung Hoon Jung,et al. Queen-bee evolution for genetic algorithms , 2003 .