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RETRACTED: Literature review on network security in Wireless Mobile Ad-hoc Network for IoT applications: network attacks and detection mechanisms

Satyanarayana Pamarthi (Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology, Chennai, India)
R. Narmadha (Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology, Chennai, India)

International Journal of Intelligent Unmanned Systems

ISSN: 2049-6427

Article publication date: 21 September 2021

Issue publication date: 22 November 2022

410
This article was retracted on 12 Nov 2024.

Retraction notice

The publisher of International Journal of Intelligent Unmanned Systems wishes to retract the article Pamarthi, S. and Narmadha, R. (2022), “Literature review on network security in Wireless Mobile Ad-hoc Network for IoT applications: network attacks and detection mechanisms”, International Journal of Intelligent Unmanned Systems, Vol. 10 No. 4, pp. 482-506. https://doi.org/10.1108/IJIUS-05-2021-0028.

It has come to our attention that there are concerns regarding the authorship of the article and that the peer review process was compromised; as a result, the article’s findings cannot be relied upon. The authors of this article would like to note that they do not agree with the content of this notice.

The publisher of the journal sincerely apologizes to the readers.

The retracted article is available at: https://doi.org/10.1108/IJIUS-05-2021-0028

Abstract

Purpose

Nowadays, more interest is found among the researchers in MANETs in practical and theoretical areas and their performance under various environments. WSNs have begun to combine with the IoT via the sensing capability of Internet-connected devices and the Internet access ability of sensor nodes. It is essential to shelter the network from attacks over the Internet by keeping the secure router.

Design/methodology/approach

This paper plans to frame an effective literature review on diverse intrusion detection and prevention systems in Wireless Sensor Networks (WSNs) and Mobile Ad hoc NETworks (MANETs) highly suitable for security in Internet of Things (IoT) applications. The literature review is focused on various types of attacks concentrated in each contribution and the adoption of prevention and mitigation models are observed. In addition, the types of the dataset used, types of attacks concentrated, types of tools used for implementation, and performance measures analyzed in each contribution are analyzed. Finally, an attempt is made to conclude the review with several future research directions in designing and implementing IDS for MANETs that preserve the security aspects of IoT.

Findings

It observed the different attack types focused on every contribution and the adoption of prevention and mitigation models. Additionally, the used dataset types, the focused attack types, the tool types used for implementation, and the performance measures were investigated in every contribution.

Originality/value

This paper presents a literature review on diverse contributions of attack detection and prevention, and the stand of different machine learning and deep learning models along with the analysis of types of the dataset used, attacks concentrated, tools used for implementation and performance measures on the network security for IoT applications.

Keywords

Acknowledgements

The author would like to thank R. Narmadha for her support and constructive suggestions during the planning and development of this research work and would like to express appreciation for her willingness to give her valuable time. Also the author wishes to thank the author’s family for their support and encouragement throughout this work.

Funding: None.

Citation

Pamarthi, S. and Narmadha, R. (2022), "RETRACTED: Literature review on network security in Wireless Mobile Ad-hoc Network for IoT applications: network attacks and detection mechanisms", International Journal of Intelligent Unmanned Systems, Vol. 10 No. 4, pp. 482-506. https://doi.org/10.1108/IJIUS-05-2021-0028

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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