基于贝叶斯网络的深海浮式设施数据中心访问安全控制方法  

Access security control method for deep-sea floating facility data center based on Bayesian network

作　　者：刘昊[1] 邓欣[1] 于超[1] 王鑫章 LIU Hao;DENG Xin;YU Chao;WANG Xinzhang(CNOOC Energy Technology&Service-Oil Production Services Co.,Tianjin 300452,China)

机构地区：[1]中海油能源发展股份有限公司采油服务分公司,天津300452

出　　处：《天津科技》2025年第4期4-7,共4页Tianjin Science & Technology

摘　　要：传统石油企业一体化管理平台数据访问安全控制的范围有限,在“深海一号”等项目的开发及应用过程中,现场数据中心中用户和数据之间复杂交互,致使拓扑率变低,不利于平台的安全运行。通过引入贝叶斯网络模型,提出一种全新的控制方法,以评估访问的用户行为信任度、对石油企业一体化管理平台数据进行访问分级、设置石油企业一体化管理平台数据访问的安全控制权限,从而实现石油企业一体化管理平台数据访问的安全控制。对比实验证明,该方法的拓扑率较高,可有效保证数据安全,优势显著。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.

关 键 词：贝叶斯网络 石油企业 一体化管理 平台数据访问 安全控制 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]