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Security Aware Routing Protocol for Intelligent Transportation Distributed Multi-Agent System

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2018
Authors:
Ma'en Saleh
10.5120/ijca2018916153

Ma'en Saleh. Security Aware Routing Protocol for Intelligent Transportation Distributed Multi-Agent System. International Journal of Computer Applications 180(10):5-13, January 2018. BibTeX

@article{10.5120/ijca2018916153,
	author = {Ma'en Saleh},
	title = {Security Aware Routing Protocol for Intelligent Transportation Distributed Multi-Agent System},
	journal = {International Journal of Computer Applications},
	issue_date = {January 2018},
	volume = {180},
	number = {10},
	month = {Jan},
	year = {2018},
	issn = {0975-8887},
	pages = {5-13},
	numpages = {9},
	url = {http://www.ijcaonline.org/archives/volume180/number10/28896-2018916153},
	doi = {10.5120/ijca2018916153},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Most recent VANETs routing protocols have neither taken into consideration security aspects nor the available resources at the mobile node. In this research, a security-aware road-side routing protocol with resource estimation methodology (SRSR_RE) for VANETs in a segmented road topology was proposed. The proposed algorithm was modelled by a distributed multi-agent system and to be installed at each road-side base-unit (RSU). The algorithm combines a congestion control unit that adopts a resource estimation mechanism with a secure-route discovery scheme. By such combination, both security and quality-of-service (QoS) requirements are guaranteed, and thus making our VANET robust against security threats besides protecting it from being congested. Compared to the insecure road-side (IRSR) and secure road-side (SRSR) protocols, extensive simulation results show the highest capability of the proposed protocol (SRSR_RE) in maximizing the secure delivery of the data packets and minimizing the end-to-end delays for VANETs with different network’s factors such as nodes density, number of malicious nodes and node’s buffer size.

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Keywords

Keywords Routing, Security, Agents, Distributed Systems, VANETs, QoS, Resource Estimation, ITS, Road Segmentation, Security Threats.