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RETRACTED ARTICLE: Design and implement a cross layer verification framework (CLVF) for detecting and preventing blackhole and wormhole attack in wireless ad-hoc networks for cloud environment

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This article was retracted on 07 December 2022

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Abstract

Various malicious activities are still making lot of problems in all kind of networks. Some of the malicious activities can be controlled and some can’t be, whereas controlling the malicious activities affects the network traffic or data should be detected and eliminated mainly. Malicious activities created in network layers affect the data and network traffic. In this paper controlling the blackhole and wormhole attacks is taken as the problem statement. To solve the problem this paper proposed a new framework for detecting and eliminating blackhole and wormhole attacks in wireless ad-hoc networks. To do that a cross layer verification framework is proposed and simulated in NS2 software to verify the efficiency. In order to evaluate the performance the obtained performance parameters are compared with existing approaches. The proposed framework can be provided as a add-on service support for cloud environment.

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Authors and Affiliations

  1. Department of CSE, Anjalai Ammal–Mahalingam Engineering College, Kovilvenni, Tiruvarur, Tamil Nadu, India

    S. Jagadeesan

  2. Department of ECE, VelTech Multi Tech Dr.Rangarajan Dr.Sakunthala Engg College, Chennai, TamilNadu, India

    V. Parthasarathy

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  1. S. Jagadeesan
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  2. V. Parthasarathy
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Correspondence to S. Jagadeesan.

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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s10586-022-03868-w"

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Jagadeesan, S., Parthasarathy, V. RETRACTED ARTICLE: Design and implement a cross layer verification framework (CLVF) for detecting and preventing blackhole and wormhole attack in wireless ad-hoc networks for cloud environment. Cluster Comput 22 (Suppl 1), 299–310 (2019). https://doi.org/10.1007/s10586-018-1825-8

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  • DOI: https://doi.org/10.1007/s10586-018-1825-8

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