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A cryptographic paradigm to detect and mitigate blackhole attack in VANET environments

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Abstract

Future communication systems have become the most commonly categorized as Mobile Ad hoc Networks and Vehicular Ad hoc Network (VANET). A VANET aims to protect vehicle drivers by initiating autonomous contact with nearby vehicles. Each vehicle operates as an intelligent mobile node in the ad-hoc network characterized by high mobility and complex networks. In VANET, malicious attacks impact cybersecurity, and such security attacks need to be detected and prevented. In VANET, any node can be determined as a router with the other nodes; a malicious node can interpret and modify the connection to the internet, thereby disrupting the network activity. VANETs are vulnerable to various security attacks such as blackhole attacks, Wormhole attacks, Denial-of-Service attacks, etc. This paper provides a novel cryptographic approach incorporated in AODV protocol to identify and eliminate the common attack strategy, called the blackhole attack in VANET, known as Secure AODV protocol (SAODV). This strategy store modifies the RREQ and RREP packets and stores the results in a lookup table. Any changes in these received packets and lookup tables imply that the intruder modifies the packet. The result analysis shows that the proposed approach is efficient in terms of various performance metrics, such as a higher packet delivery ratio of 95%, higher throughput of 87%, higher blackhole attack detection ratio of 98% compared to the existing approaches. It is inferred from the result that the proposed SAODV has a lower end-to-end delay of 75%, a lower collision rate of 71%, and a lower normalized routing load of 89%. Because of its better performance, the proposed SAODV approach will significantly impact the security application Intelligent Transport System.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Galgotias University, Greater Noida, India

    Rajesh Kumar Dhanaraj

  2. Department of Computer Science and Engineering, Indian Institute of Information Technology Kalyani, West Bengal, India

    SK Hafizul Islam

  3. Department of Computer Science and Engineering, Kongu Engineering College, Perundurai, India

    Vani Rajasekar

Authors
  1. Rajesh Kumar Dhanaraj
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  2. SK Hafizul Islam
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  3. Vani Rajasekar
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Correspondence to SK Hafizul Islam.

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Dhanaraj, R.K., Islam, S.H. & Rajasekar, V. A cryptographic paradigm to detect and mitigate blackhole attack in VANET environments. Wireless Netw 28, 3127–3142 (2022). https://doi.org/10.1007/s11276-022-03017-6

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