This chapter covers the essential concerns of security in multi-tenant cloud settings and proposes the Robust Tenant Identification Framework (RTIF) as an innovative solution. We first review core cloud security ideas, concentrating on the special threats given by multi-tenancy, including side-channel attacks and VM escape vulnerabilities. RTIF is then offered as a complete security framework that incorporates sophisticated user identification mechanisms with intelligent load balancing algorithms. By evaluating user behavior, access patterns, and historical data, RTIF generates secure user profiles for intelligent resource allocation and access control choices. The framework’s mathematical underpinnings are explained, proving its potential to maximize security and resource consumption concurrently. Performance assessments illustrate RTIF’s efficacy in minimizing security concerns while maintaining efficient resource utilization in shared cloud settings. This study helps greatly to strengthen the security and efficiency of multi-tenant cloud computing systems.

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Secure Cloud Resource Management

  • Sakshi Patni,
  • Deepika Saxena,
  • Ashutosh Kumar Singh

摘要

This chapter covers the essential concerns of security in multi-tenant cloud settings and proposes the Robust Tenant Identification Framework (RTIF) as an innovative solution. We first review core cloud security ideas, concentrating on the special threats given by multi-tenancy, including side-channel attacks and VM escape vulnerabilities. RTIF is then offered as a complete security framework that incorporates sophisticated user identification mechanisms with intelligent load balancing algorithms. By evaluating user behavior, access patterns, and historical data, RTIF generates secure user profiles for intelligent resource allocation and access control choices. The framework’s mathematical underpinnings are explained, proving its potential to maximize security and resource consumption concurrently. Performance assessments illustrate RTIF’s efficacy in minimizing security concerns while maintaining efficient resource utilization in shared cloud settings. This study helps greatly to strengthen the security and efficiency of multi-tenant cloud computing systems.