DocumentCode :
3722455
Title :
Secure Dissemination of Video Data in Vehicle-to-Vehicle Systems
Author :
Chenyang Qu;Denis A. Ulybyshev;Bharat K. Bhargava;Rohit Ranchal;Leszek T. Lilien
Author_Institution :
Comput. Sci. Dept., Purdue Univ., West Lafayette, IN, USA
fYear :
2015
Firstpage :
47
Lastpage :
51
Abstract :
Data exchange between vehicles and base stations may contain information on traffic accidents, traffic jams, road constructions etc. Risks to data privacy in vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) systems need be minimized. We present a policybased solution that provides controlled and privacypreserving dissemination of video data in V2V and V2I. This policy-based solution relies on Active Bundle (AB), which incorporates policy enforcement mechanism and policies that describe access to video data. The usage of ABs ensures privacy of actors during disclosure of captured video in untrusted environment. Face recognition algorithm is used to identify sensitive data in videos and it is used in policies. We use four algorithms to process images that are captured by a vehicle´s camera.
Keywords :
"Vehicles","Cameras","Face","Base stations","Face recognition","Law enforcement","Engines"
Publisher :
ieee
Conference_Titel :
Reliable Distributed Systems Workshop (SRDSW), 2015 IEEE 34th Symposium on
Type :
conf
DOI :
10.1109/SRDSW.2015.22
Filename :
7371441
Link To Document :
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