Enhancing Cyber Security And Performance In Multi-Tenant Cloud Computing Environments Through Adaptive Resource Management And Ai-Driven Threat Mitigation
DOI:
https://doi.org/10.71146/kjmr936Keywords:
Multi-tenant Cloud Computing, Federated Learning, Anomaly Detection, Adaptive Resource Management, AI-Driven Threat Mitigation, CyberSecurity.Abstract
The multi-tenant approach in cloud computing provides scalability, but it brings some security and performance challenges such as resource contention and attacks from one tenant to another. The traditional approach addresses threat detection and performance management independently, leading to slow and inefficient responses. In this model for the research, an integrated artificial intelligence is applied which integrates anomaly detection, CVSS-based threat risk assessment, and adaptive threat response mechanism in order to improve cloud security and performance. In applying the model to industry standard simulation data, there will be improvement in cloud security without compromising speed.
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Copyright (c) 2026 Amad Asif, Muhammad Zamin Ali Khan, Muhammad Usama Khan, Syed Talib Zaheer Zaidi, Faigha Karim, Khalid Bin Muhammad (Author)
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