|
|
|
| |
Dr. Ajith Abraham received Ph.D. degree from Monash University, Australia. Currently he is a Visiting Professor in the Norwegian University of Science and Technology, Norway. His primary research interests are in computational intelligence with an application focus including network security, Web services, Web intelligence, multi criteria decision-making, data mining etc.
|
Dr. Ajith Abraham has authored/co-authored over 300 research publications in peer reviewed reputed journals,
book chapters and conference proceedings of which five have won 'best paper' awards. He has given several plenary talks and conference tutorials.
He is the editor-in-chief / co-editor in chief of three international scientific journals and also serves the editorial board of several reputed International journals.
He has guest edited 23 special issues for International scientific journals. Since 2001, he is actively involved in the Hybrid Intelligent Systems (HIS) and the Intelligent Systems Design and Applications (ISDA) series of International conferences.
He was the General Co-chair of the Third International Symposium on Information Assurance and Security (IAS'07), Manchester, UK; Seventh International Conference on Intelligent Systems Design and Applications (ISDA'07), Brazil; and the Program Chair/Co-Chair of the First European International Conference on Data Mining (EICDM'07), Lisbon; Second International Conference on Digital Information Management (ICDIM'07), France; Third International Conference on Next Generation Web Services Practices (NWeSP'07), Seoul; and The Seventh International Conference on Hybrid Intelligent Systems (HIS'07), Germany and 2007 IEEE/WIC/ACM International Conference on Web Intelligence, USA.
|
|
"Real Time Intrusion Detection and Prevention Programs"
Abstract
An intrusion detection program analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. In this talk, we present some of the challenges in designing efficient intrusion detection systems using nature inspired computation techniques, which could provide high accuracy, low false alarm rate and reduced number of features. Then we present some ongoing research for intrusion prediction and prevention programs and some future research directions.
|
|
|
