LSR: Mitigating zero-day sybil vulnerability in privacy-preserving vehicular peer-to-peer networks

IEEE Journal on Selected Areas in Communications

Volumn 31, Issue 9, 2013, Pages 237-246

  Lin, Xiaodong ^a  

^a UNIVERSITY OF ONTARIO INSTITUTE OF TECHNOLOGY   (Canada)

Author keywords

Analytical models; Delays; local sybil resistance; Peer to peer computing; Privacy; privacy preserving; Roads; Security; Vehicles; Vehicular peer to peer network; zero day sybil vulnerability

Indexed keywords

ANALYTICAL MODELS; COMPUTER CRIME; DATA PRIVACY; DISTRIBUTED COMPUTER SYSTEMS; PEER TO PEER NETWORKS; VEHICLES;

DELAYS; PEER-TO-PEER COMPUTING; PRIVACY PRESERVING; ROADS; SECURITY; ZERO-DAY SYBIL VULNERABILITY;

NETWORK SECURITY;

EID: 84902197946     PISSN: 07338716     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSAC.2013.SUP.0513021     Document Type: Article

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