Chaotically masking traffic pattern to prevent traffic pattern analysis attacks for mission critical applications in computer communication networks

Authors:
Ming Li;Huamin Feng
Affiliations:
School of Information Science & Technology, East China Normal University, Shanghai, PR. China;Key Laboratory of Security and Secrecy of Information, Beijing Electronic Science and Technology Institute, Beijing, PR. China
Venue:
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
Year:
2006

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Abstract

We propose a novel approach to chaotically mask traffic pattern according to a predetermined chaotic mode, aiming at making the masked traffic lose values for intruders to analyze for malicious activities in a mission critical network.