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RETRACTED ARTICLE: Oppositional based Laplacian grey wolf optimization algorithm with SVM for data mining in intrusion detection system

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This article was retracted on 23 May 2022

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Abstract

Identifying intruders using data mining approach in recent trend provides better detection rate when compared with other classical systems. In this paper we introduced Oppositional based Laplacian grey wolf optimization algorithm for clustering the class of attacks based on the similarity and active learning of SVM classification using this optimization algorithm. The results of the proposed algorithm have been evaluated with standard metrics and compared with the recent algorithms to prove its significance. The results of the proposed algorithm show its significance when compared with the existing methodologies.

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Authors and Affiliations

  1. Information and Communication Engineering, Anna University, Chennai, India

    P. Anitha

  2. Department of Electronics and Communication Engineering, Coimbatore Institute of Engineering and Technology, Coimbatore, India

    B. Kaarthick

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  1. P. Anitha
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  2. B. Kaarthick
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Correspondence to P. Anitha.

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This article has been retracted. Please see the retraction notice for more detail:https://doi.org/10.1007/s12652-022-03931-9

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Anitha, P., Kaarthick, B. RETRACTED ARTICLE: Oppositional based Laplacian grey wolf optimization algorithm with SVM for data mining in intrusion detection system. J Ambient Intell Human Comput 12, 3589–3600 (2021). https://doi.org/10.1007/s12652-019-01606-6

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