Authors:
Osama Dighriri
1
;
2
;
Priyadarsi Nanda
1
;
Manoranjan Mohanty
3
and
Ibrahim Haddadi
4
Affiliations:
1
School of Electrical and Data Engineering, Faculty of Engineering and IT, University of Technology Sydney, Australia
;
2
Department of Computer Science, College of Engineering and Computer Science, JAZAN University, K.S.A.
;
3
School of Information System, Carnegie Mellon University, Qatar
;
4
Department of Computer Engineering, College of Computer Science and Engineering, TAIBAH University, K.S.A.
Keyword(s):
Internet of Things (IoT), Hybrid and Secure Clustering, Dynamic Reconfigurability, AES-128 Encryption.
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.