AI-Driven Real-Time IDS for Securing IoT Networks against Evolving Cyber Threats

Ramakrishna Kosuri, Swagata Panchadhyayee, M. P. Revathi, B. Veera Sekharreddy, Sanjay Kumar S. P., Kazi Kutubuddin Sayyad Liyakat

2025

Abstract

The fast growth of the number of Internet of Things (IoT) devices has increased the cyber threats perspective and required intelligent and adaptive security solutions. INS detection, Existing INSs do not work well in dynamic IoT environments because of their limited scalability and real-time processing ability with fast-growing attack types. This article presents an AI-based real-time IDS model that suits IoT networks the most. By using lightweight DNNs and adaptive threat models, the scheme guarantees low latency and high detection accuracy in resource-limited scenarios. The suggested model integrates RT traffic monitoring, anomaly detection and automated response technique to limit threats from occurrence. Tested on a variety of benchmark databases and real-time testbeds, it shows a better detection accuracy and operational efficiency. To the best of our knowledge, this work is new in the area of real-time emerging threats mitigation and sustainable protection towards future-proofing the IoT environment in the face of emerging and evolving IoT-specific cyber-attacks, in relation to a lightweight and scalable network protection.

Paper Citation

in Harvard Style

Kosuri R., Panchadhyayee S., Revathi M., Sekharreddy B., P. S. and Liyakat K. (2025). AI-Driven Real-Time IDS for Securing IoT Networks against Evolving Cyber Threats. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 692-700. DOI: 10.5220/0013888500004919

in Bibtex Style

@conference{icrdicct`2525,
author={Ramakrishna Kosuri and Swagata Panchadhyayee and M. Revathi and B. Sekharreddy and Sanjay P. and Kazi Liyakat},
title={AI-Driven Real-Time IDS for Securing IoT Networks against Evolving Cyber Threats},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={692-700},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013888500004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - AI-Driven Real-Time IDS for Securing IoT Networks against Evolving Cyber Threats
SN - 978-989-758-777-1
AU - Kosuri R.
AU - Panchadhyayee S.
AU - Revathi M.
AU - Sekharreddy B.
AU - P. S.
AU - Liyakat K.
PY - 2025
SP - 692
EP - 700
DO - 10.5220/0013888500004919
PB - SciTePress