%0 Conference Proceedings
%T Accurate Accident Reconstruction in VANET
%+ Medical University of South Carolina [Charleston] (MUSC)
%A Kopylova, Yuliya
%A Farkas, Csilla
%A Xu, Wenyuan
%Z Part 9: Short Papers
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 23th Data and Applications Security (DBSec)
%C Richmond, VA, United States
%Y Yingjiu Li
%I Springer
%3 Data and Applications Security and Privacy XXV
%V LNCS-6818
%P 271-279
%8 2011-07-11
%D 2011
%R 10.1007/978-3-642-22348-8_23
%K Accident reconstruction
%K EDR
%K in-vehicle applications
%K VANET
%Z Computer Science [cs]Conference papers
%X We propose a forensic VANET application to aid an accurate accident reconstruction. Our application provides a new source of objective real-time data impossible to collect using existing methods. By leveraging inter-vehicle communications, we compile digital evidence describing events before, during, and after an accident in its entirety. In addition to sensors data and major components’ status, we provide relative positions of all vehicles involved in an accident. This data is corroborated by observations provided by witness vehicles to rectify inconsistencies. Our application utilizes the mandatory form of VANET communication (beacons), making it non-obtrusive in terms of resource and bandwidth consumption.
%G English
%Z TC 11
%Z WG 11.3
%2 https://inria.hal.science/hal-01586576/document
%2 https://inria.hal.science/hal-01586576/file/978-3-642-22348-8_23_Chapter.pdf
%L hal-01586576
%U https://inria.hal.science/hal-01586576
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC11
%~ IFIP-WG11-3
%~ IFIP-DBSEC
%~ IFIP-LNCS-6818