Peer Reviewed Book Chapters and Journal Papers:

2004

• S. Mukkamala, A. H. Sung, A. Abraham (2004) Designing Intrusion Detection Systems: Architectures and Perspectives. Annual Review of Communications, Vol. 57, International Engineering Consortium. ISBN: 1-931695-28-8


• S. Mukkamala, A. H. Sung, A. Abraham, V. Ramos (2004) Intrusion Detection Systems using Adaptive Regression Splines. Kluwer Academic Press.


• S. Mukkamala, A. H. Sung (2004) Knowledge Discovery in Network Audit Trails. Lecture Notes in Computer Science, Springer (In Press)


• A. S. Vieira, B. Ribeiro, S. Mukkamala, J. C. Neves, A. Sung. (2004) On the Performance of Learning Machines for Bankruptcy Detection (Under Review)


• S. Mukkamala, A. H. Sung (2004) An Ensemble of Network Forensic Models and Significant Feature Analysis, Elsevier (Under Review)


• S. Mukkamala, A. H. Sung, A. Abraham. (2004) Hybrid Multi Agent Framework for Detection of Stealthy Probes. Applied Soft Computing Journal, Elsevier (In Press)


• S. Mukkamala, A. H. Sung, A. Abraham. (2004) Intrusion Detection Using an Ensemble of Intelligent Paradigms. Journal of Network and Computer Applications, Elsevier (In Press)

2003

• S. Mukkamala, A. H. Sung. (2003) Identifying Significant Features for Network Forensic Analysis Using Artificial Intelligence Techniques. In International Journal on Digital Evidence, IJDE Volume 1, Issue 4


• S. Mukkamala, A.H. Sung. (2003) Feature Selection for Intrusion Detection Using Neural Networks and Support Vector Machines. Journal of the Transportation Research Board of the National Academics, Transportation Research Record No 1822, pp. 33-39

2002

• S. Mukkamala. (2002) Mining Key Features from Network Audit Trails for Intrusion Detection Systems Using Machine Learning Techniques. Criminal Intelligence Digest, Central Bureau of Investigation