Literature Database Entry

garip2017interloc


M. T. Garip, P. H. Kim, P. Reiher and M. Gerla, "INTERLOC: An interference-aware RSSI-based localization and sybil attack detection mechanism for vehicular ad hoc networks," Proceedings of 14th IEEE Annual Consumer Communications Networking Conference (CCNC 2017), Las Vegas, NV, January 2017.

Abstract

Vehicular ad hoc networks (VANETs) are designed to provide traffic safety by exploiting the inter-vehicular communications. Vehicles build awareness of traffic in their surroundings using information broadcast by other vehicles, such as speed, location and heading, to proactively avoid collisions. The effectiveness of these VANET traffic safety applications is particularly dependent on the accuracy of the location information advertised by each vehicle. Therefore, traffic safety can be compromised when Sybil attackers maliciously advertise false locations or other inaccurate GPS readings are sent. The most effective way to detect a Sybil attack or correct the noise in the GPS readings is localizing vehicles based on the physical features of their transmission signals. The current localization techniques either are designed for networks where the nodes are immobile or suffer from inaccuracy in high-interference environments. In this paper, we present a RSSI-based localization technique that uses mobile nodes for localizing another mobile node and adjusts itself based on the heterogeneous interference levels in the environment. We show via simulation that our localization mechanism is more accurate than the other mechanisms and more resistant to environments with high interference and mobility.

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M. T. Garip
P. H. Kim
P. Reiher
M. Gerla

BibTeX reference

@inproceedings{garip2017interloc,
    author = {Garip, M. T. and Kim, P. H. and Reiher, P. and Gerla, M.},
    title = {{INTERLOC: An interference-aware RSSI-based localization and sybil attack detection mechanism for vehicular ad hoc networks}},
    booktitle = {14th IEEE Annual Consumer Communications Networking Conference (CCNC 2017)},
    year = {2017},
    month = {January},
    address = {Las Vegas, NV},
    publisher = {IEEE},
    doi = {10.1109/CCNC.2017.8013424},
   }
   
   

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