Loading

Reducing Accidents Through Detection of Black Hole Attack in VANETs
Dekka Satish1, K.Narasimha Raju2, B.Srinivasa Rao3, G.Sita Ratnam4, P.Raja5

1Mr. Dekka Satish*, Department of Computer Science and Engineering, Lendi Institute of Engineering and Technology, Viziangaram (A.P), India. E-mail: satishmtech4u@gmail.com
2Dr. K. Narasimha Raju, Department of Computer Science and Engineering, Lendi Institute of Engineering and Technology, Viziangaram (A.P), India.
3Dr.B.SrinivasaRao,Department of Computer Science and Engineering, Dadi Institute of Engineering & Technology(DIET), Visakhapatnam(AP),India.
4Dr. G.Sita Ratnam, Department of Computer Science and Engineering, Lendi Institute of Engineering and Technology, Viziangaram (A.P), India.
4Mr.P. Raja, Department of Computer Science and Engineering, Lendi Institute of Engineering and Technology, Viziangaram (A.P), India. 

Manuscript received on June 01, 2020. | Revised Manuscript received on June 08, 2020. | Manuscript published on June 30, 2020. | PP: 1056-1059 | Volume-9 Issue-5, June 2020. | Retrieval Number: E9972069520/2020©BEIESP | DOI: 10.35940/ijeat.E9972.069520
Open Access | Ethics and Policies | Cite | Mendeley
© 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 (VANETs) are upcoming prominent technology in the field of communication with vehicles. It is a combination of mobile and sensor network features. The random change in position of vehicles in VANET made the system more vulnerable to attacks. The most important attack in VANETs to be considered is Black hole attack which increases the chances for packet loss and in turn to accidents. There is a necessity to develop the techniques to detect Black hole attacks and reduce number of accidents. In this paper, a technique called “Detection of Black hole in VANET using AODV (DBVANETuAODV)” is proposed to find and prevent Black hole attack and thereby reducing occurrence of accidents. The proposed solution is implemented using AODV Routing protocol in VANET.The experiments are conducted with SUMO and NS2 simulators to depict network environment in an inexpensive way. The proposed method “DBVANETuAODV” is compared with AODV with black hole and the result shows the proposed method provides a significant improvement. 
Keywords: Black hole attack, VANETs, SUMO.