An Efficient Implementation of a Method to Detect Sybil Attacks in Vehicular Ad hoc Networks using Received Signal Strength Indicator
B. Keerthi Samhitha1, Suja Cherukullapurath Mana2, Jithina Jose3, M. Mohith4, L. Siva Chandhrahasa Reddy5
1Ms. Keerthi Samhitha, Assistant Professor, Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Semmancheri, Chennai (Tamil Nadu), India.
2Ms. Suja Cherukulapurath Mana, Assistant Professor, Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Semmancheri, Chennai (Tamil Nadu), India.
3Ms. Jithina Jose, Assistant Professor, Sathyabama Institute of Science and Technology, Semmancheri, Chennai (Tamil Nadu), India.
4Mr. Mohith, Student, School Computing, Sathyabama Institute of Science and Technology, Semmancheri, Chennai (Tamil Nadu), India.
5Mr. Siva Chandrahasa Reddy, Student, School Computing, Sathyabama Institute of Science and Technology, Semmancheri, Chennai (Tamil Nadu), India.
Manuscript received on October 17, 2019. | Revised Manuscript received on 25 October, 2019. | Manuscript published on November 10, 2019. | PP: 2796-2800 | Volume-9 Issue-1, November 2019. | Retrieval Number: I7604078919/2019©BEIESP | DOI: 10.35940/ijitee.I7604.119119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Vehicular Ad Hoc Networks (VANET) are useful in implementing a smart transportation system by enabling ad hoc vehicle to vehicle communication. Sybil attack is considered to be one of the most dangerous threats to VANET. Sybil aggressor can produce different phony personalities with false messages to extremely hinder the ordinary elements of wellbeing related applications. In this paper, we are presenting an implementation of a method to detect Sybil attack using received signal strength indicator.
Keywords: Vehicular ad hoc Networks, Sybil Attack, RSSI, Voiceprint.
Scope of the Article: Vehicular Networks