Authors : Wajeha Zahra; Salman Ahmad; Dr. Usama Ahmad

Volume/Issue : Volume 11 - 2026, Issue 6 - June

Google Scholar : https://tinyurl.com/mr2pvjba

Scribd : https://tinyurl.com/4z3tj9j8

DOI : https://doi.org/10.38124/ijisrt/26jun2033

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : In the current era, collaborative cloud infrastructure has allowed organizations to share computing resources, services and data in distributed systems. Abstract shows that this has allowed organizations to share computing resources, services and data across distributed systems. This paradigm enhances scalability, flexibility, and cost-effectiveness, but it also leads to substantial trust and security challenges associated with diverse community users, dynamic resource allocation, multi-tenant designs, and interactions across organizations. Existing trust management systems are based on static trust relationships and fixed access policies, which are unsuitable to deal with the dynamic environment of collaborative cloud computing. This study introduces a novel approach to address these shortcomings by proposing a Context-Aware Trust Framework (CATF) that dynamically assesses trustworthiness based on cloud entities' behaviors and contextual data. The proposed framework relies on several trust parameters, such as user behaviors, device reputation, spatial context, temporal context, history of interactions and level of sensitivity of the resources, to derive adaptive trust scores for granting access and sharing resources. The framework includes context acquisition layer, trust evaluation engine, risk assessment module and access decision component, all of which allow real-time trust assessment. A mathematical trust computation model is designed to measure trust levels and aid in dynamic decision making in collaborative cloud. In addition, an evaluation methodology based on simulations is presented to evaluate the effectiveness of the framework for the enhancement of trust accuracy, reduction of unauthorized access attacks, and enhancement of security resilience. The results reveal that contextbased trust evaluation can be an effective way to enhance the security while maintaining the operational flexibility of collaborative cloud-based systems. The suggested framework helps improve the development of intelligent trust management mechanisms and offers a scalable base for secure and adaptive collaboration across cloud computing in modern distributed computing environment.

Keywords : Context-Aware Trust, Collaborative Cloud Infrastructure, Trust Management, Cloud Security, Access Control.

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