Detection and Ignoring of Blackhole Attack in Vanets Networks

Chaima Bensaid, Sofiane Boukli Hacene and Kamel Mohamed Faraoun
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Chaima Bensaid: EEDIS Laboratory Computer Science Department, Djillali Liabes University at Sidi Bel Abbes, Sidi Bel Abbes, Algeria
Sofiane Boukli Hacene: EEDIS Laboratory Computer Science Department, Djillali Liabes University at Sidi Bel Abbes, Sidi Bel Abbes, Algeria
Kamel Mohamed Faraoun: EEDIS Laboratory Computer Science Department, Djillali Liabes University at Sidi Bel Abbes, Sidi Bel Abbes, Algeria

International Journal of Cloud Applications and Computing (IJCAC), 2016, vol. 6, issue 2, 1-10

Abstract: Vehicular networks or VANET announce as the communication networks of the future, where the mobility is the main idea. These networks should be able to interconnect vehicles. The optimal goal is that these networks will contribute to safer roads and more effective in the future by providing timely information to drivers and concerned authorities. They are therefore vulnerable to many types of attacks among them the black hole attack. In this attack, a malicious node disseminates spurious replies for any route discovery in order to monopolize all data communication and deteriorate network performance. Many studies have focused on detecting and isolating malicious nodes in VANET. In this paper, the authors present two mechanisms to detect this attack. The main goal is detecting as well as bypass cooperative black hole attack. The authors' approaches have been evaluated by the detailed simulation study with NS2 and the simulation results shows an improvement of protocol performance.

Date: 2016
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