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Journal of Discrete Mathematical Sciences and Cryptography cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0065·ISSN (Print): 0972-0529

Monthly Journal: Publishes theoretical and applied research in all areas of Discrete Mathematical Sciences, Cryptography, Combinatorics, Elliptic Curves and Information Security.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
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Open Access Research Article

A traffic-based anomaly detection protocol for security enhancement of nodes in IoT networks

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pp. 2067–2075Vol. 27Issue 7October 2024DOI: 10.47974/JDMSC-2080 Crossmark XML
Received:
06 Mar 2024
Published Online:
15 Oct 2024
Article type:
Research Article
Language:
EN
Article no.:
JDMSC-2080
Pages:
2067–2075

Abstract

An Internet of Things (IoT) constitutes a network of diverse entities, referred to as ‘things’, interconnected via a wide area network such as the Internet. The extensive connectivity to the broader Internet introduces potential security vulnerabilities within an IoT network. Consequently, there exists a probability of malicious devices targeting the IoT network. As such, it becomes imperative to monitor the behavior of IoT devices to detect and isolate malicious nodes within the network. This paper introduces a traffic-based anomaly detection protocol aimed at enhancing the security of nodes within an IoT network. The protocol’s foundation lies in the traffic generated by devices within the IoT network. The efficacy of the proposed protocol is evaluated through simulation-based performance analysis. The observations indicate a reasonable success rate in the detection of anomalous nodes by the protocol.

Keywords

Subject Classifications

Primary 68M12Secondary 90B18

References

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