Cloud computing is now a basic technology for storing, managing, and processing large amounts of data using distributed internet-based systems. Cloud environments have many benefits, such as being able to grow, being flexible, and being cost-effective. However, they also have big security problems, especially when it comes to insider threats, unauthorised access, and attacks that change the reputation of a company. Role-Based Access Control and cryptographic encryption are examples of traditional access control methods that protect privacy and authorisation, but they don't check the trustworthiness of users and service providers on a regular basis. This study introduces a Trust-Based Task-Role-Based Access Control (T-RBAC) model that amalgamates dynamic trust assessment with organised role-task authorisation to enhance cloud security. The suggested system figures out trust scores by looking at a number of different factors, such as past user behaviour, the credibility of feedback, how often users access the system, how well they follow the rules, and how reliable they are at completing tasks. Access decisions are only made when both role eligibility and trust threshold requirements are met. The framework also has ways to encrypt, monitor, and audit data to make sure it is safe and accountable. Testing shows that the proposed system greatly lowers the risk of insider threats, stops reputation attacks, and makes cloud access control systems more reliable. The model offers a scalable, adaptable, and secure framework appropriate for contemporary cloud computing settings.
Khanna et al. (Wed,) studied this question.
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