A More General Information Theoretic Study of Wireless Location Verification System

In recent years, the issue of location verification system (LVS) has received significant attention in wireless communication networks, especially in Intelligent Transportation Systems (ITSs) and vehicular technology, where the location information is important for users' safety and security. I...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on vehicular technology Vol. 69; no. 9; pp. 9938 - 9950
Main Authors: Gholami, Rozita, Hodtani, Ghosheh Abed
Format: Journal Article
Language:English
Published: New York IEEE 01-09-2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In recent years, the issue of location verification system (LVS) has received significant attention in wireless communication networks, especially in Intelligent Transportation Systems (ITSs) and vehicular technology, where the location information is important for users' safety and security. In this article, we consider a vehicular network and analyze a more general Information Theoretic (ITc) study of LVS, specifically, aiming at finding an optimum decision threshold for detection a spoofed location and increasing the system ability in correctly detecting malicious users. For this purpose, we propose different information theoretic measures (Renyi divergence, Renyi mutual information, Kullback-Leibler divergence, Kullback-Leibler mutual information and Jensen-Shannon divergence) for identifying malicious user. Simulation results and comparison between proposed measures show that the optimum decision threshold can be achieved by applying the Jensen-Shannon divergence measure.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2020.3003806