Trusted computing strengthens cloud authentication

Area of Science:

• Computer Science
• Information Security
• Cloud Computing

Background:

• Cloud computing adoption presents significant Identity and Access Management (IAM) security challenges.
• Existing solutions like Single Sign-On (SSO) and OpenID address some cloud identity privacy issues.
• Trust Multi-tenancy and Trusted Platform Modules (TPM) offer potential for enhanced cloud security.

Purpose of the Study:

• To propose a novel cloud security model to mitigate identity theft.
• To integrate trusted computing, Federated Identity Management, and OpenID Web SSO for robust cloud identity protection.
• To address the growing security concerns in multi-tenant cloud environments.

Main Methods:

• Development of a security model combining trusted computing, Federated Identity Management, and OpenID Web SSO.
• Simulation of the proposed model within a .Net environment.
• Evaluation using security analysis, simulation, and the Bell-LaPadula (BLP) confidentiality model.

Main Results:

• The proposed model effectively integrates advanced security technologies for cloud identity.
• Simulation results indicate the model's capability to enhance security against identity theft.
• The BLP model analysis confirms the confidentiality aspects of the proposed solution.

Conclusions:

• The integration of trusted computing, Federated Identity Management, and OpenID Web SSO offers a viable solution to cloud identity theft.
• The proposed model enhances security and privacy in cloud identity environments.
• Further validation through rigorous security analysis and simulation supports its practical application.