On an information theoretic approach to model anonymous MANET communications
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
A statistical traffic pattern discovery system for MANETs
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Journal of Network and Computer Applications
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In this paper, we propose a two-step unlinkability measuring approach for MANET, i.e., (a) evidence collection using statistical packet-counting traffic analysis, (b) evidence theory-based unlinkability measure. We use IEEE 802.11b-based MANETs as our analytical systems. Using our approach, we can collect a set of evidence to set up a probability assignment for each possible communication relation (i.e., the data sender and corresponding receiver); and then we can apply the evidence theory-based unlinkability measuring methods to derive the unlinkability evaluations of the 802.11b MANET.