Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
computer science
Vehicular security through reputation and plausibility checks
IEEE Systems Journal, Volume 8, No. 2, Article 6472013, Year 2014
Notification
URL copied to clipboard!
Description
Vehicular ad hoc networks (VANETs) are essentially used to communicate real-time traffic and safety information. In this paper, we present vehicular security through reputation and plausibility checks to address the most important issue of security in VANETs. The algorithm provides security against the attacks of event modification, false event generation, data aggregation and data dropping. It performs not only detection but also the isolation of malicious nodes in the network. It employs sensors in a reputation-based system and presents a very robust yet cost efficient approach as it utilizes just vehicle to vehicle communication, thereby reducing the security issues and cost associated with the roadside infrastructure. The algorithm has been simulated and tested on various scenarios and has been observed to be very effective and efficient in terms of the percentage of malicious nodes detected, number of control packets sent after detection of malicious nodes, average time taken to detect nodes which are generating false information, number of packets dropped, and the number of packets received by malicious nodes. © 2007-2012 IEEE.
Authors & Co-Authors
Dhurandher, Sanjay Kumar
India, New Delhi
Netaji Subhas Institute of Technology
Obaidat, Mohammad S.
United States, West Long Branch
Monmouth University
United Arab Emirates, Abu Dhabi
Khalifa University of Science and Technology
Jaiswal, Amrit
India, New Delhi
Netaji Subhas Institute of Technology
Tiwari, Akanksha
India, New Delhi
Netaji Subhas Institute of Technology
Tyagi, Ankur
India, New Delhi
Eigen Technologies Pvt. Ltd.
Statistics
Citations: 68
Authors: 5
Affiliations: 4
Identifiers
Doi:
10.1109/JSYST.2013.2245971
ISSN:
19328184
e-ISSN:
19379234