Abstract: The traditional methods for data access security control in integrated management platforms for oil enterprises have limited scope. During the development and application of projects such as the “Deep Sea No.1”,the complex interactions between on-site data center users and data result in a low topology rate,which is not conducive to the secure operation of the platform. By introducing a Bayesian network model,a novel control method is proposed to evaluate the trustworthiness of user behavior,classify access to data in the integrated management platforms of oil enterprises,and set security control permissions for data access in the integrated management platform of petroleum enterprises,thereby realizing security control of data access in integrated management platforms of oil enterprises. Comparative experiments prove that this method achieves a higher topology rate,ensuring the safety of data resources with significant advantages.

Key words: Bayesian network, oil enterprise, integrated management, platform data access, security control