Impact of Blackhole and Wormhole Attacks on DSDV Routing Protocol in VANET: Behavioural Analysis
DOI:
https://doi.org/10.24191/jcrinn.v10i2.516Keywords:
VANET, Blackhole, Wormhole, DSDV, SUMOAbstract
Vehicular Ad-Hoc Networks (VANETs) play a crucial role in Intelligent Transportation Systems (ITS) and the advancement of intelligent vehicles, enabling seamless and reliable communication between vehicles and infrastructure. This communication supports real-time applications such as collision avoidance, traffic control, and driver assistance. However, due to their dynamic topology and open-access medium, VANETs are highly vulnerable to security threats, particularly blackhole and wormhole attacks, which can disrupt data routing and severely degrade network performance. Despite the growing importance of VANETs, there is a limited number of studies that specifically examine the impact of blackhole and wormhole attacks on the Destination-Sequenced Distance-Vector (DSDV) routing protocol. This research addresses that gap by evaluating VANET performance under three conditions: no attack, a blackhole attack, and a wormhole attack. Key performance metrics including Packet Delivery Ratio (PDR), throughput, End-to-End Delay (EED), and Routing Overhead (RO) are analysed across various node densities using NS-2.35 and SUMO 1.18.0. Notably, the results show a 76.9% decline in throughput under the wormhole attack compared to the baseline scenario, highlighting the significant performance degradation caused by such threats. Overall, this study provides valuable quantitative insights into the vulnerabilities of VANETs and underscores the urgent need for more secure and resilient routing protocols to defend against these emerging attacks.
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Al Rubaiei, M. H., Jassim, H. S., & Sharef, B. T. (2022). Performance analysis of black hole and worm hole attacks in MANETs. International Journal of Communication Networks and Information Security (IJCNIS), 14(1). https://doi.org/10.17762/ijcnis.v14i1.5078
Alifo, F., Doe, M., & Yakubu, M. A. (2023a). Wormhole attack vulnerability assessment of MANETs: Effects on routing protocols and network performance. International Journal of Computer Applications, 185(48), 24-29. https://doi.org/10.5120/ijca2023923312
Alifo, F., Yakubu, M. A., Doe, M., & Asante, M. (2023b). Performance analysis of AODV and DSR routing protocols under blackhole attack using NS-2. Computer Science & Information Technology, 485-496. https://doi.org/10.5121/csit.2023.131339
Asra, S. A. (2022). Security issues of vehicular ad hoc networks (VANET): A systematic review. TIERS Information Technology Journal, 3(1), 17–27. https://doi.org/10.38043/tiers.v3i1.3520
Bhatti, D. S., Saleem, S., Imran, A., Kim, H. J., Kim, K., & Lee, K. (2024). Detection and isolation of wormhole nodes in wireless ad hoc networks based on post-wormhole actions. Scientific Reports, 14, 3428. https://doi.org/10.1038/s41598-024-53938-9
El-Dalahmeh, M., El-Dalahmeh, A., & Adeel, U. (2024). Analysing the performance of AODV, OLSR, and DSDV routing protocols in VANET based on the ECIE method. IET Networks, 13(5–6), 377–394. https://doi.org/10.1049/ntw2.12136
Kaur, G., Khurana, M., & Kaur, A. (2022). Gray hole attack detection and prevention system in vehicular adhoc network (VANET). In 3rd International Conference on Computing, Analytics and Networks (ICAN) (pp. 1-6). IEEE. https://doi.org/10.1109/ICAN56228.2022.10007192
Kaur, T., & Kumar, R. (2018). Mitigation of blackhole attacks and wormhole attacks in wireless sensor networks using AODV protocol. In IEEE International Conference on Smart Energy Grid Engineering (SEGE) (pp. 288–292). IEEE. https://doi.org/10.1109/SEGE.2018.8499473
Kumar, A., Varadarajan, V., Kumar, A., Dadheech, P., Choudhary, S. S., Kumar, V. D. A., Panigrahi, B. K., & Veluvolu, K. C. (2021). Black hole attack detection in vehicular ad-hoc network using secure AODV routing algorithm. Microprocessors and Microsystems, 80, 103352. https://doi.org/10.1016/j.micpro.2020.103352
Mahmood, J., Duan, Z., Yang, Y., Wang, Q., Nebhen, J., & Bhutta, M. N. M. (2021). Security in vehicular ad hoc networks: Challenges and countermeasures. Security and Communication Networks, 2021(1), 9997771. https://doi.org/10.1155/2021/9997771
Malik, A., Khan, M. Z., Faisal, M., Khan, F., & Seo, J. (2022). An efficient dynamic solution for the detection and prevention of black hole attack in VANETs. Sensors, 22(5), 1897. https://doi.org/10.3390/s22051897
Masruroh, S. U., Farghani, Y. S., Kusdaryono, A., Fiade, A., Putri, R. A., & Pratiwi, L. A. (2022). Comparative analysis of testing black hole attack and rushing attack on VANET (Vehicular Ad-Hoc Network) with AOMDV routing protocol. In International Conference on Engineering and Emerging Technologies (ICEET) (pp. 1–6). IEEE. https://doi.org/10.1109/ICEET56468.2022.10007272
Reshi, I. A., Sholla, S., & Najar, Z. A. (2024). Safeguarding IoT networks: Mitigating black hole attacks with an innovative defense algorithm. Journal of Engineering Research, 12(1), 133–139. https://doi.org/10.1016/j.jer.2024.01.014
Sahoo, A., & Tripathy, A. K. (2023). On routing algorithms in the internet of vehicles: A survey. Connection Science, 35(1), 2272583. https://doi.org/10.1080/09540091.2023.2272583
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Copyright (c) 2025 Ahmad Yusri Dak, Nuramarina Nasruddin, Nur Khairani Kamaruddin (Author)

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