The Conceptual and Architectural Design of an Intelligent Intrusion Detection System
暂无分享,去创建一个
[1] Calvin Ko,et al. Logic induction of valid behavior specifications for intrusion detection , 2000, Proceeding 2000 IEEE Symposium on Security and Privacy. S&P 2000.
[2] Richard A. Kemmerer,et al. State Transition Analysis: A Rule-Based Intrusion Detection Approach , 1995, IEEE Trans. Software Eng..
[3] Tapio Elomaa,et al. An Analysis of Reduced Error Pruning , 2001, J. Artif. Intell. Res..
[4] M. Hemalatha,et al. Effective approach toward Intrusion Detection System using data mining techniques , 2014 .
[5] Wei-Hao Lin,et al. Meta-classification: Combining Multimodal Classifiers , 2002, Revised Papers from MDM/KDD and PAKDD/KDMCD.
[6] 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.
[7] Xiangji Huang,et al. Mining network data for intrusion detection through combining SVMs with ant colony networks , 2014, Future Gener. Comput. Syst..
[8] Sung-Bae Cho,et al. Detecting intrusion with rule-based integration of multiple models , 2003, Comput. Secur..
[9] Andrew H. Sung,et al. Intrusion detection using an ensemble of intelligent paradigms , 2005, J. Netw. Comput. Appl..
[10] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.
[11] Rasha G. Mohamme,et al. Design and Implementation of a Data Mining-Based Network Intrusion Detection Scheme , 2011 .
[12] Manas Ranjan Patra,et al. A Hybrid Intelligent Approach for Network Intrusion Detection , 2012 .
[13] Johannes Fürnkranz,et al. Pruning Algorithms for Rule Learning , 1997, Machine Learning.
[14] 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..
[15] Hesham Altwaijry,et al. Bayesian based intrusion detection system , 2012, J. King Saud Univ. Comput. Inf. Sci..
[16] Azzedine Boukerche,et al. An artificial immune based intrusion detection model for computer and telecommunication systems , 2004, Parallel Comput..
[17] Nir Friedman,et al. Bayesian Network Classifiers , 1997, Machine Learning.
[18] Shahram Sarkani,et al. A network intrusion detection system based on a Hidden Naïve Bayes multiclass classifier , 2012, Expert Syst. Appl..
[19] R. G. Raut,et al. Intrusion detection system using data mining approach , 2012 .
[20] Elsayed A. Sallam,et al. A hybrid network intrusion detection framework based on random forests and weighted k-means , 2013 .
[21] Hui Wang,et al. A clustering-based method for unsupervised intrusion detections , 2006, Pattern Recognit. Lett..
[22] Hua Song,et al. Real-time intrusion detection for high-speed networks , 2005, Comput. Secur..
[23] Nur Izura Udzir,et al. A K-Means and Naive Bayes Learning Approach for Better Intrusion Detection , 2011 .
[24] Bhavani M. Thuraisingham,et al. A new intrusion detection system using support vector machines and hierarchical clustering , 2007, The VLDB Journal.
[25] S.F. Yusufovna,et al. Integrating Intrusion Detection System and Data Mining , 2008, 2008 International Symposium on Ubiquitous Multimedia Computing.
[26] Yogendra Kumar Jain,et al. An Efficient Intrusion Detection Based on Decision Tree Classifier Using Feature Reduction , 2012 .
[27] Ajith Abraham,et al. Modeling intrusion detection system using hybrid intelligent systems , 2007, J. Netw. Comput. Appl..
[28] Cheng Xiang,et al. Design of Multiple-Level Hybrid Classifier for Intrusion Detection System , 2005, 2005 IEEE Workshop on Machine Learning for Signal Processing.
[29] Morteza Amini,et al. RT-UNNID: A practical solution to real-time network-based intrusion detection using unsupervised neural networks , 2006, Comput. Secur..
[30] Manas Ranjan Patra,et al. NETWORK INTRUSION DETECTION USING NAÏVE BAYES , 2007 .
[31] Ke Ma,et al. Design of Intrusion Detection System Based on Data Mining Algorithm , 2009, 2009 International Conference on Signal Processing Systems.
[32] Hesham Altwaijry,et al. Bayesian based intrusion detection system , 2012, J. King Saud Univ. Comput. Inf. Sci..