Peer Reviewed Book Chapters and Journal Papers:

2008

• T. Sulaiman, A. H. Sung, S. Mukkamala (2008) SQL Infections through RFID. Journal in Computer Virology, Springer Paris

 

• Q. Liu, A. Sung, Z. Chen, J. Xu (2008). Feature Mining and Pattern Classification for Steganalysis of LSB Matching Steganography in Grayscale Images. Pattern Recognition Vol. 41 (1), pp. 6-66.

 

2007

• J. Xu, A. Sung, S. Mukkamala, Q. Liu (2007) Obfuscated Malicious Executable Scanner. Journal of Research and Practice in Information Technology, Vol. 39 (3), pp. 181-197

 

• J. Xu, A. Sung, Q. Liu (2007) Behavior Mining for Fraud Detection. Journal of Research and Practice in Information Technology, Vol. 39 (1), pp. 3-18.

 

• Q. Liu, A. Sung, B. Ribeiro, M. Wei, Z. Chen, J. Xu (2008) Image Complexity and Feature Mining for Steganalysis of Least Significant Bit Matching Steganography. Information Sciences, Vol. 178 (1), pp. 21-36

 

• D. Shin, W. Claycomb, I. Seunghyun (2007) A Visual Way to Talk to Strangers: Authentication in Ubiquitous Computing. International Journal of Ad Hoc and Ubiquitous Computing, Accepted, 2007

 

• S. Mukkamala, A. H. Sung, A. Abraham (2007) Hybrid Multi Agent Framework for Detection of Stealthy Probes, Applied Soft Computing Journal, Elsevier Science. Vol. 7, pp. 631-641

 

2006

• H. S. Soliman, M. Omari (2006) Application of Synchronous Dynamic Encryption System (SDES) in Wireless Sensor Networks. International Journal of Network Security, Vol. 3 (2) pp.171-182.

 

• H. S. Soliman, M. Omari (2006) Neural Networks Approach to Image Data Compression. Applied Soft Computing Journal, , ISSN 1568-4946, Vol. 6, pp.258-271.

 

2005

• D. Shin, G. Ahn (2005) Role-based Privilege and Trust Management. Computer Science, Systems & Engineering Journal, Vol. 20 (6), CRL Publishing, 2005.

 

• S. Mukkamala, A. H. Sung, R. Veeraghattam (2005) Classification Models For Intrusion Detection Systems. International Journal of Mathematical and Computational Applications, ISSN 1300-686X.

 

• S. Mukkamala, A. H. Sung, A. Abraham  (2005) Intrusion Detection Using Ensemble of Soft Computing and Hard Computing Paradigms, Journal of Network and Computer Applications, Elsevier Science, Vol. 28, Issue 2, pp. 167-182. (TOP25 articles within the Journal of Network and Computer Applications) http://top25.sciencedirect.com/?journal_id=10848045

2004

• S. Mukkamala, A. H. Sung, A. Abraham, V. Ramos (2004) Intrusion Detection Systems using Adaptive Regression Splines. INSTICC - Institute for Systems and Technologies of Information, Control and Communication, ISBN 972-8865-00-7, Vol. 3, pp. 26-33

 

• 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 (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