An Intelligent Security Framework for Improving Service Availability in Multi-Cloud Computing

Authors

  • Kushala M V Dr. Ambedkar Institute of Technology, Bengaluru, India
  • Dr. B S Shylaja Dr. Ambedkar Institute of Technology, Bengaluru, India

Keywords:

Service Availability, Cloud Security, Intelligent Security Framework, Threat Detection, Adaptive Failover, Resource Management, Workload Migration, Service Resilience, Anomaly Detection.

Abstract

Multi-cloud computing has emerged as a flexible paradigm for distributing applications and services across multiple cloud infrastructures. However, security threats, resource failures, network disruptions, and malicious activities can significantly affect continuous service availability. This research proposes an Intelligent Security Framework for Improving Service Availability in Multi-Cloud Computing. The framework integrates intelligent threat assessment, continuous service monitoring, and adaptive resource management to identify availability risks at an early stage. A security-aware decision mechanism evaluates cloud providers using service health, workload conditions, network behavior, and detected threat indicators. Intelligent analysis enables the framework to distinguish abnormal service behavior from ordinary variations in cloud resource utilization. When a potential disruption is identified, critical workloads are dynamically redirected toward secure and operational cloud resources. An adaptive failover strategy reduces service interruption by selecting suitable alternative providers based on real-time conditions. The proposed approach also supports proactive resource redistribution to prevent overloaded services from becoming unavailable. Security monitoring and availability management are combined within a unified decision framework to improve multi-cloud resilience. Experimental evaluation considers response time, service availability, failure recovery time, threat detection efficiency, and failover performance. The obtained results indicate improved service continuity and reduced recovery delays under different failure and security threat scenarios. The framework demonstrates effective workload adaptation while maintaining reliable access to distributed cloud services. This study provides a scalable and intelligent approach for strengthening security-aware service availability in heterogeneous multi-cloud infrastructures. The proposed framework can support resilient cloud applications that require continuous, secure, and dependable service delivery.

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Published

24-11-2024