Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)

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Cognitive Threats Detection Model using Nature Inspired Chimpanzee Optimization for IoT Networks (CCM-COM)

Authors
V. Vanitha1, *, S. Bestley Joe1, Rahul Krishnan1, A. S. Augustine Fletcher1, M. Anju1, V. Akila1
1Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India
*Corresponding author. Email: vanithav@srmist.edu.in
Corresponding Author
V. Vanitha
Available Online 30 June 2025.
DOI
10.2991/978-94-6463-754-0_55How to use a DOI?
Keywords
IoT security; Network security; Wireless sensor network; Cyber security; Cognitive computing
Abstract

Emerging development of networking technology ensured fats and flexible communication. Wireless sensor network is applied in almost everywhere for efficient usage of network and data transfer. On the other side of the network, the flexibility leads to the hacking mechanism and unauthorized accessibility. The proposed approach is focused on designing an efficient and new approach for reducing the cyber threats in WSN 5G networks. The proposed model considers the deployment of wireless sensor network using shorting algorithm, the nodes are allowed to get communicated in the random space. The occurrence of malicious nodes are detected through cognitive control mechanism using Chimpanzee optimization model (CCM-COM) is proposed. The optimized network get self-repaired and reconnected to achieve high energy efficiency. The proposed system achieved with 64.17 s of propagation delay achieved from the repose of the COM model. Attacks such as Fake job alert, Fake app, android defender are classified here.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)
Series
Atlantis Highlights in Engineering
Publication Date
30 June 2025
ISBN
978-94-6463-754-0
ISSN
2589-4943
DOI
10.2991/978-94-6463-754-0_55How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - V. Vanitha
AU  - S. Bestley Joe
AU  - Rahul Krishnan
AU  - A. S. Augustine Fletcher
AU  - M. Anju
AU  - V. Akila
PY  - 2025
DA  - 2025/06/30
TI  - Cognitive Threats Detection Model using Nature Inspired Chimpanzee Optimization for IoT Networks (CCM-COM)
BT  - Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)
PB  - Atlantis Press
SP  - 629
EP  - 637
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-754-0_55
DO  - 10.2991/978-94-6463-754-0_55
ID  - Vanitha2025
ER  -