IoT-Enabled Cybersecurity for Datacenters - Real-Time Threat Monitoring and Incident Response

This article presents a comprehensive analysis of an IoT-enabled cybersecurity implementation at a major data center service provider operating across multiple regions. It examines the integration of advanced artificial intelligence and machine learning models with IoT sensors to enhance threat detection and incident response capabilities. The platform's innovative approach combines real-time infrastructure monitoring with automated response mechanisms, leveraging continuous learning algorithms to adapt to evolving cyber threats. By analyzing patterns in power consumption, cooling systems, and network behavior, the system demonstrates significant improvements in threat detection and response efficiency. The implementation showcases how intelligent IoT integration in data center security can strengthen operational resilience while ensuring regulatory compliance across critical sectors including banking, healthcare, and telecommunications.

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Publication Details

Journal
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Published
2025-03-09
DOI
https://doi.org/10.32628/cseit25112412
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

IoT-Enabled Cybersecurity for Datacenters - Real-Time Threat Monitoring and Incident Response

Mahesh Kolli
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Network Security and Intrusion Detection
article

IoT-Enabled Cybersecurity for Datacenters - Real-Time Threat Monitoring and Incident Response

Mahesh Kolli
article en

Abstract

This article presents a comprehensive analysis of an IoT-enabled cybersecurity implementation at a major data center service provider operating across multiple regions. It examines the integration of advanced artificial intelligence and machine learning models with IoT sensors to enhance threat detection and incident response capabilities. The platform's innovative approach combines real-time infrastructure monitoring with automated response mechanisms, leveraging continuous learning algorithms to adapt to evolving cyber threats. By analyzing patterns in power consumption, cooling systems, and network behavior, the system demonstrates significant improvements in threat detection and response efficiency. The implementation showcases how intelligent IoT integration in data center security can strengthen operational resilience while ensuring regulatory compliance across critical sectors including banking, healthcare, and telecommunications.

International Journal of Scientific Research in Computer Science Engineering and Information TechnologyVol. 11(2)
The Medical Device (United Kingdom) (GB)
Openalex Percentile: Top 96%
Network Security and Intrusion Detection
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