Accessing company resources such as personal data, financial data, and company networks in the dynamic business environment is a vital task. This paper proposes a Dynamic Trust Model Algorithm (DTMA) using fuzzy inference rules for access control. The novelty is finding the unsteady behaviour of an employee in a varying period using trust mathematical computation. Based on four parameters such as Performance (P), Direct Observation (DO), Expected Trust (ET) and Feedback (F), the trust value is calculated. To manage the deliberate altering behaviour of the hostile employees, a dynamic Trust Value (TV) has been calculated and restrict their harmful actions. Also, the performance and accuracy of the DTMA have been assessed and compared to other models such as DLATrust, DyTrust and SecTrust. The proposed DTMA gives better results in terms of accuracy, precision, recall, F-Score and Receiver Operating Characteristics (ROC).

在动态业务环境中访问公司资源（例如个人数据，财务数据和公司网络）是一项至关重要的任务。提出了一种使用模糊推理规则进行访问控制的动态信任模型算法（DTMA）。新颖之处在于，可以使用信任数学计算来发现员工在不同时期内的不稳定行为。基于性能（P），直接观察（DO），预期信任（ET）和反馈（F）等四个参数，计算信任值。为了管理敌对员工的故意改变行为，已计算出动态的信任值（TV），并限制了他们的有害行为。此外，已经评估了DTMA的性能和准确性，并将其与DLATrust，DyTrust和SecTrust等其他模型进行了比较。拟议的DTMA在准确性方面给出了更好的结果，