Research Article
Clustering for Adaptive Cybersecurity in Smart Infrastructure
@INPROCEEDINGS{10.4108/eai.19-12-2025.2362395, author={Sonu Devi and Dharmender Kumar and Narender Kumar}, title={Clustering for Adaptive Cybersecurity in Smart Infrastructure}, proceedings={Proceedings of the 1st International Conference on Computational Techniques in Data Science, IICTDS 2025, 19-20 December 2025, Chandigarh, India}, publisher={EAI}, proceedings_a={IICTDS}, year={2026}, month={11}, keywords={Cyber-Physical Systems IoT Security Clustering Cluster Validity Indices Anomaly Detection Adaptive Cybersecurity}, doi={10.4108/eai.19-12-2025.2362395} }- Sonu Devi
Dharmender Kumar
Narender Kumar
Year: 2026
Clustering for Adaptive Cybersecurity in Smart Infrastructure
IICTDS
EAI
DOI: 10.4108/eai.19-12-2025.2362395
Abstract
Smart infrastructure faces growing cyber threats that require intelligent and adaptive security. For detecting intrusions and anomalies in such environments this survey emphasizes clustering as a key technique. Clustering-based systems show better accuracy and resilience as compared to traditional methods. However, challenges such as latency, limited computing power, dataset dependency and the need for continuous threat intelligence still affect deployment. To address these issues, future research is moving toward neuromorphic and bio-inspired clustering, federated and privacy-preserving clustering, temporal–spatial clustering and energy-efficient quantum clustering. Strengthening clustering techniques with deep neural networks, hybrid approaches and improved frameworks can further enhance cybersecurity in smart infrastructure.