Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Research Article Probabilistic Localization and Tracking of Malicious Insiders Using Hyperbolic Position Bounding in Vehicular Networks | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2009 Article ID 128679 13 pages doi 2009 128679 Research Article Probabilistic Localization and Tracking of Malicious Insiders Using Hyperbolic Position Bounding in Vehicular Networks Christine Laurendeau and Michel Barbeau School of Computer Science Carleton University 1125 Colonel By Drive Ottawa ON Canada K1S 5B6 Correspondence should be addressed to Christine Laurendeau claurend@ Received 12 December 2008 Accepted 1 April 2009 Recommended by Shuhui Yang A malicious insider in a wireless network may carry out a number of devastating attacks without fear of retribution since the messages it broadcasts are authenticated with valid credentials such as a digital signature. In attributing an attack message to its perpetrator by localizing the signal source we can make no presumptions regarding the type of radio equipment used by a malicious transmitter including the transmitting power utilized to carry out an exploit. Hyperbolic position bounding HPB provides a mechanism to probabilistically estimate the candidate location of an attack message s originator using received signal strength RSS reports without assuming knowledge of the transmitting power. We specialize the applicability of HPB into the realm of vehicular networks and provide alternate HPB algorithms to improve localization precision and computational efficiency. We extend HPB for tracking the consecutive locations of a mobile attacker. We evaluate the localization and tracking performance of HPB in a vehicular scenario featuring a variable number of receivers and a known navigational layout. We find that HPB can position a transmitting device within stipulated guidelines for emergency services localization accuracy. Copyright 2009 C. Laurendeau and M. Barbeau. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use .