Secure and Hybrid Clustering for IoT Networks: An Adaptive Dynamic Reconfigurability Approach

Osama Dighriri, Osama Dighriri, Priyadarsi Nanda, Manoranjan Mohanty, Ibrahim Haddadi

2025

Abstract

Current Internet of Things (IoT) networks face significant challenges in scalability, energy efficiency, and security within resource-constrained environments. This paper proposes a hybrid clustering framework combining BIRCH with DBSCAN algorithms while integrating AES-128 encryption for secure communication. Our proposed scheme is implemented using Contiki-NG simulator and analyzed using Python 3. Our approach demonstrates a 20% improvement in resource utilization, 43.26% reduction in latency, and 99.91% message success rate conducted across 2,154 test runs, with security overhead below 5%. This reduces cluster reconfiguration frequency and improves system stability, addressing limitations in adaptability, data integrity, and optimization for dynamic IoT infrastructures.

Paper Citation

in Harvard Style

Dighriri O., Nanda P., Mohanty M. and Haddadi I. (2025). Secure and Hybrid Clustering for IoT Networks: An Adaptive Dynamic Reconfigurability Approach. In Proceedings of the 22nd International Conference on Security and Cryptography - Volume 1: SECRYPT; ISBN 978-989-758-760-3, SciTePress, pages 412-419. DOI: 10.5220/0013525600003979

in Bibtex Style

@conference{secrypt25,
author={Osama Dighriri and Priyadarsi Nanda and Manoranjan Mohanty and Ibrahim Haddadi},
title={Secure and Hybrid Clustering for IoT Networks: An Adaptive Dynamic Reconfigurability Approach},
booktitle={Proceedings of the 22nd International Conference on Security and Cryptography - Volume 1: SECRYPT},
year={2025},
pages={412-419},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013525600003979},
isbn={978-989-758-760-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 22nd International Conference on Security and Cryptography - Volume 1: SECRYPT
TI - Secure and Hybrid Clustering for IoT Networks: An Adaptive Dynamic Reconfigurability Approach
SN - 978-989-758-760-3
AU - Dighriri O.
AU - Nanda P.
AU - Mohanty M.
AU - Haddadi I.
PY - 2025
SP - 412
EP - 419
DO - 10.5220/0013525600003979
PB - SciTePress