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RETRACTED ARTICLE: An efficient technique for mitigating stealthy attacks using MNDA in MANET

  • S.I. : Machine Learning Applications for Self-Organized Wireless Networks
  • Published:
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This article was retracted on 13 December 2022

This article has been updated

Abstract

In mobile ad hoc networks, stealthy packet dropping is considered as a suite comprising four attacks, namely misrouting, control attacks, character designation and the conniving impact, that can be effectively propelled against mobile specially appointed systems. Stealthy packet dropping upsets the packets through malevolent conduct at a transitional node. This paper presents a novel stealthy assault location strategy for distinguishing packet misrouting in the constructed mobile ad hoc networks. Moreover, we propose a new algorithm called dynamic malicious node detection algorithm for identifying the stealthy attack nodes in mobile network environment. This is achieved in two stages. The first stage gathers additional information pertaining to the middle nodes and stores in a special table in the intermediate nodes. The second stage identifies the misbehaving nodes if any in a specified path. Finally, an alternate path is chosen to send the packets to fulfill the communication. Various performance criteria are evaluated for this work. The results of these analysis show that our proposed work is more efficient than the Bayesian linear model-based detection.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, University College of Engineering Panruti, Cuddalore, Tamil Nadu, India

    D. Muruganandam

  2. Department of Electronics and Communication Engineering, St. Joseph’s College of Engineering, Chennai, Tamil Nadu, India

    J. Martin Leo Manickam

Authors
  1. D. Muruganandam
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  2. J. Martin Leo Manickam
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Correspondence to D. Muruganandam.

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Muruganandam, D., Martin Leo Manickam, J. RETRACTED ARTICLE: An efficient technique for mitigating stealthy attacks using MNDA in MANET. Neural Comput & Applic 31 (Suppl 1), 15–22 (2019). https://doi.org/10.1007/s00521-018-3634-7

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  • DOI: https://doi.org/10.1007/s00521-018-3634-7

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