RETRACTED: An RSSI-based Sybil attack detection system with continuous authentication using a novel lightweight multimodal biometrics
International Journal of Intelligent Unmanned Systems
ISSN: 2049-6427
Article publication date: 26 November 2020
Issue publication date: 7 January 2022
Retraction notice
The publishers of the International Journal of Intelligent Unmanned Systems wish to retract the article Brindha, N.V. and Meenakshi, V.S. (2022), “An RSSI-based Sybil attack detection system with continuous authentication using a novel lightweight multimodal biometrics”, International Journal of Intelligent Unmanned Systems, Vol. 10 No. 1, pp. 3-21. https://doi.org/10.1108/IJIUS-08-2020-0034
An internal investigation into a series of submissions has uncovered evidence that the peer review process was compromised. As a result of these concerns, the findings of the article cannot be relied upon. This decision has been taken in accordance with Emerald’s publishing ethics and the COPE guidelines on retractions. The authors of this article would like to note that they do not agree with the content of this notice. The publishers of the journal sincerely apologize to the readers.
Abstract
Purpose
Any node in a mobile ad hoc network (MANET) can act as a host or router at any time and so, the nodes in the MANET are vulnerable to many types of attacks. Sybil attack is one of the harmful attacks in the MANET, which produces fake identities similar to legitimate nodes in the network. It is a serious threat to the MANET when a malicious node uses the fake identities to enter the network illegally.
Design/methodology/approach
A MANET is an independent collection of mobile nodes that form a temporary or arbitrary network without any fixed infrastructure. The nodes in the MANET lack centralized administration to manage the network and change their links to other devices frequently.
Findings
So for securing a MANET, an approach based on biometric authentication can be used. The multimodal biometric technology has been providing some more potential solutions for the user to be able to devise an authentication in MANETs of high security.
Research limitations/implications
The Sybil detection approach, which is based on the received signal strength indicator (RSSI) variations, permits the node to be able to verify the authenticity of communicating nodes in accordance with their localizations.
Practical implications
As the MANET node suffers from a low level of memory and power of computation, there is a novel technique of feature extraction that is proposed for the multimodal biometrics that makes use of palm prints that are based on a charge-coupled device and fingerprints, along with the features that are fused.
Social implications
This paper proposes an RSSI-based multimodal biometric solution to detect Sybil attack in MANETs.
Originality/value
The results of the experiment have indicated that this method has achieved a performance which is better compared to that of the other methods.
Keywords
Citation
Brindha, N.V. and Meenakshi, V.S. (2022), "RETRACTED: An RSSI-based Sybil attack detection system with continuous authentication using a novel lightweight multimodal biometrics", International Journal of Intelligent Unmanned Systems, Vol. 10 No. 1, pp. 3-21. https://doi.org/10.1108/IJIUS-08-2020-0034
Publisher
:Emerald Publishing Limited
Copyright © 2020, Emerald Publishing Limited