Conference Presentations

• S. Mukkamala, Qingzhong Liu, R. Veeraghattam, A. H. Sung (2005) Computational Intelligent Techniques for Tumor Classification (Using Micro array Gene Expression Data). Proceedings of World Congress on Lateral Computing (WCLC 2005) . ( Bangalore, India)


• J. Xu, A. H. Sung, Q. Liu, S. Mukkamala (2005) Fraud Detection System Based on Behavior Mining and Anomaly Detection. Proceedings of Second Indian International Conference on Artificial Intelligence (IICAI 2005). ( Pune, India)


• S . Mukkamala, A. H. Sung, R. Veeraghattam, A. S. Vieira, J. C. Neves (2005) Are Neural Networks the Best Classifiers for Bankruptcy Detection?. Proceedings of The Twelth International Conference on Neural Information Processing (ICONIP). (Taipie, Taiwan)


• S. Mukkamala, A. H. Sung, R. Veeraghattam (2005) Classification Models For Intrusion Detection Systems. Proceedings of 2nd International Conference on Intelligent Knowledge Systems (IKS-2005). (Istanbul, Turkey)


• S . Mukkamala, B. Ribeiro, A. H. Sung. (2005) Model Selection for Kernel Based Intrusion Detection Systems . International Conference on Adaptive and Natural Computing Algorithms (ICANNGA). ( Coimbra, Portugal)


• A. H. Sung, J. Xu, P. Chavez, S. Mukkamala (2004) Static Analyzer for Vicious Executables (SAVE). 20 th Annual Computer Security Applications Conference (ACSAC) . ( Tucson, USA)


• S. Mukkamala, A. H. Sung (2004) Coordinated Distributed Multi Attacks (CDMA). IEEE International on Advances in Intelligent Systems Theory and Applications. ( Luxembourg)


• S. Mukkamala, A. H. Sung (2004) A Framework for Countering Denial of Service Attacks (Knowledge Discovery Approach). IEEE International Conference Systems, Man, and Cybernetics. (The Hague, Netherlands)


• T. Xie, A. H. Sung, S. Mukkamala, Q. Liu (2004) Reactive Tamper Detection for Image Authentication. Fourth International Conference on Intelligent Systems Design and Applications. ( Budapest, Hungary)


• S. Mukkamala, A. H. Sung, A. Abraham (2004) Modeling Intrusion Detection Systems Using Linear Genetic Programming Approach. 17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE). ( Ottawa, Canada)


• S. Mukkamala, A H. Sung (2004) Computational Intelligent Techniques for Detecting Denial of Service Attacks. 17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE). ( Ottawa, Canada)


• M. Paprzycki, A. Abraham, R. Guo, S. Mukkamala. (2004) Data Mining Approach for Analyzing Call Center Performance. 17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE). (nominated as best paper). ( Ottawa, Canada)


• A. H. Sung, J. Xu, K. Ramamurthy, P. Chavez, S. Mukkamala, T. Sulaiman, T. Xie (2004) Static Analyzer for Vicious Executables (SAVE). Presented in Work-in-progress Section of IEEE Symposium on Security and Privacy. ( Berkley, USA)


• A. H. Sung, G. K. Tadiparthi, S. Mukkamala (2004) Defeating the Current Steganlytic Techniques ( Robust Steganography). International Conference on Information Technology. ( Las Vegas, USA)


• S. Mukkamala, A. H. Sung, A. Abraham (2003) Distributed Multi-Intelligent Agent Frame Work for Detection of Stealthy Probes. International Conference on Hybrid Intelligent Systems. ( Melbourne, Australia)


• S. Mukkamala, A. H. Sung (2003) Artificial Intelligent Techniques for Intrusion Detection. IEEE International Conference Systems, Man, and Cybernetics. ( Washington D.C., USA)


• S. Mukkamala, A. H. Sung. (2003) A Distributed Agent Based IDS for Stealthy Probe Detection. First Indian International Conference on Artificial Intelligence (IICAI 2003) , pp. 413-422. (Nominated as Best Paper). ( Hyderabad, India)


• S. Mukkamala, A. H. Sung (2003) Soft Computing Techniques for Intrusion Detection. Workshop on Statistical and Machine Learning Techniques in Computer Intrusion Detection, George Mason University. ONR and AFSOR Sponsored Workshop on Intrusion Detection. (Fair Fax, USA)


• S. Mukkamala, A. H. Sung (2003) A Comparative Study of Techniques for Intrusion Detection. 15 th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003). ( Sandiago, USA)


• S. Mukkamala, A. H. Sung, A. Abraham (2003) Intrusion Detection Using Ensemble of Soft Computing Paradigms . Third International Conference on Intelligent Systems Design and Applications. ( Tulsa, USA)


• G. K. Tadiparthi, S. Mukkamala, A. H. Sung (2003) A Steganography Database. Digital Forensics Research Workshop. ( Cleveland, USA)
  
  
• S. Mukkamala, A. H. Sung (2003) Detecting Denial of Service Attacks Using Support Vector Machines. IEEE International Conference on Fuzzy Systems (IEEE FUZZ). ( St. Louis, USA)


• A. H. Sung, S. Mukkamala (2003) Identifying Important Features for Intrusion Detection Using Support Vector Machines and Neural Networks. International Symposium on Applications and the Internet Technology (SAINT). ( Orlando, USA)


• A. H. Sung, S. Mukkamala (2003) Feature Selection for Intrusion Detection Using Neural Networks and Support Vector Machines. 82nd Annual Meeting of the Transportation Research Board (of the National Academies). ( Washington D.C., USA)


• S. Mukkamala, A. H. Sung (2002) Performance Based Feature Identification for Intrusion Detection Using Support Vector Machines. Second International Conference on Hybrid Intelligent Systems. ( Santiago, Chile)


• S. Mukkamala, A. H. Sung (2002) I dentifying Key Features for Intrusion Detection Using Neural Networks. 15 th International Conference on Computer Communications. ( Mumbai, India)


• S. Mukkamala, A. H. Sung (2002) Learning machines for Intrusion Detection: Support Vector Machines and Neural Networks. International Conference on Security and Management. ( Las Vegas, USA)


• S. Mukkamala, A. H. Sung (2002) Feature ranking and Selection for Intrusion detection Systems. International Conference on Information and Knowledge Engineering . ( Las Vegas, USA)


• S. Mukkamala, A. H. Sung (2002) Comparison of Neural Networks and Support Vector Machines in Intrusion Detection. Workshop on Statistical and Machine Learning Techniques in Computer Intrusion Detection, Johns Hopkins University. ( Baltimore, USA)


• S. Mukkamala, G. Janoski, A. H. Sung (2002) Intrusion Detection Using Neural Networks and Support Vector Machines. IEEE International Joint Conference on Neural Networks (IJCNN). ( Honolulu, USA)


• S. Mukkamala, G. Janowski, A. H. Sung. (2001) Intrusion Detection Using Neural Networks and Support Vector Machines. International Conference on Hybrid Intelligent Systems (HIS). ( Adelaide, Australia)


• G. Janoski, N. Benslimame, S. Mukkamala, and A. Sung. (2001) Using Neural Networks for System Security Monitoring. International Conference Intelligent Systems and Control. ( Tampa, Florida)