JOURNAL OF NETWORKS (JNW)
ISSN : 1796-2056
Volume : 4    Issue : 1    Date : February 2009

Probabilistic Evidence Aggregation for Malicious Node Position Bounding in Wireless Networks
Christine Laurendeau and Michel Barbeau
Page(s): 9-18
Full Text:
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Abstract
Hyperbolic position bounding of malicious devices aims to estimate the location of a wireless
network rogue insider that transmits an attack message containing falsified information to mislead
honest nodes. A probabilistic path loss model is used to construct an area in Euclidian space
bounded by minimum and maximum distance difference hyperbolas between each pair of trusted
receivers. This hyperbolic area is said to contain the rogue insider with a degree of confidence. We
explore the combination of evidence provided by a set of multiple receiver pairs supporting the
intersection of their hyperbolic space. We propose a novel heuristic scheme to aggregate area
probability so that the combined degree of confidence ascribed to the intersecting space is
computed according to a paradigm of supportive rather than competitive evidence. Performance
evaluation concludes that our aggregation model yields a probability distribution better fitted to
experimental location estimation results than a redistributive paradigm.

Index Terms
Combination of Evidence, Location Estimation, Vehicular Communications, Wireless Access
Networks, Wireless Networks, Wireless Security