Impact of wormhole attack on AODV routing protocol in vehicular ad-hoc network over real map with detection and prevention approach

被引：0

作者：

Ali S. ^{[1
]}

Nand P. ^{[2
]}

Tiwari S. ^{[3
]}

机构：

[1] Department of Computer Science and Engineering, SRMSCET, Bareilly, Affiliated to Dr. A.P.J. Abdul Kalam Technical University, Lucknow, Utter Pradesh

[2] Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, Uttar Pradesh

[3] Department of Computer Science and Engineering, ABESEC, Ghaziabad, Dr. A.P.J. Abdul Kalam Technical, Lucknow, Uttar Pradesh

来源：

International Journal of Vehicle Information and Communication Systems | 2020年 / 5卷 / 03期

关键词：

AODV; MANET; Routing; VANET; Wormhole attack;

D O I：

10.1504/IJVICS.2020.110997

中图分类号：

学科分类号：

摘要：

Vehicular Ad-hoc Network (VANET) is a subclass of Mobile Ad-hoc Network (MANET) which provides the safety measure and other different applications to the drivers of the vehicles. The goal of VANET is to fulfil the requirements of users on roadside area, which improves the safe and comfortable journey. Secure routing is the main issue in VANET. Dynamic topology and wireless networking makes the VANET vulnerable to numerous sorts of attacks. Wormhole is one of the extreme assaults in VANET. This type of attack disturbs the working of routing protocol such as Ad hoc On demand Distance Vector (AODV) routing protocol. The motivation of this research work is that by using proposed detection and prevention approach the VANET can be made more secure. The results show how the performance of AODV routing protocol is affected by wormhole. In this research paper the impact of wormhole attack is analysed in terms of throughput, packer delivery ratio, and end-to-end delay. An approach is also proposed to detect and prevent wormhole attack in VANET over a real map on different vehicle densities based on multipath concept. Copyright © 2020 Inderscience Enterprises Ltd.

引用

页码：354 / 373

页数：19

共 15 条

[1]

Abdulkader A., Abdullah Z., Taufik A., Abdullah A., Zukarnain Z.A., Malicious node identification routing and protection mechanism for vehicular ad-hoc network against various attacks, International Journal of Networking and Virtual Organisations, 19, 2/3/4, pp. 153-175, (2018)

[2]

Albouq S.S., Fredericks E.M., Detection and avoidance of wormhole attacks in connected vehicles, Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Application (DIVANet’17), pp. 107-116, (2017)

[3]

Ali S., Nand P., Tiwari S., Secure message broadcasting in VANET over wormhole attack by using cryptographic technique, Proceedings of the International Conference on Computing, Communication and Automation (ICCCA’17), (2017)

[4]

Amish P., Vaghela V., Detection and prevention of wormhole attack in wireless sensor network using AOMDV protocol, Proceedings of the 7th International Conference on Communication, Computing and Virtualization, 79, pp. 700-707, (2016)

[5]

Bhatia J., Ukani V., Testing Video Transmission in Ns-2 Using the EvalVid Framework, (2015)

[6]

Biradar S., Majumder K., Sarkar S., Biradar P.S.R., Performance evaluation and comparison of AODV and AOMDV, Proceedings of the International Journal on Computer Science and Engineering (IJCSE’10), 2, 2, pp. 373-377, (2010)

[7]

Fan N., Wu C.Q., On trust models for communication security in vehicular ad-hoc networks, Journal of Ad Hoc Networks, 90, (2019)

[8]

Khanna A., Rodrigues J., Gupta N., Swaroop A., Gupta D., Local mutual exclusion algorithm using fuzzy logic for flying ad hoc networks, International Journal Computer Communications, 156, pp. 101-111, (2020)

[9]

Khanna A., Rodrigues J., Gupta N., Swaroop A., Gupta D., Saleem K., Albuquerque V., A mutual exclusion algorithm for flying ad hoc networks, International Journal Computers and Electrical Engineering, 76, pp. 82-93, (2019)

[10]

Network Simulator 2, (2020)

← 1 2 →