油田开发数据库隐私数据泄露风险识别方法  

Identification method for privacy data leakage risk in oilfield development database

作　　者：张杰[1] ZHANG Jie(Petrochina Qinghai Oilfield Branch Exploration And Development Research Institute Data Center,Jiuquan 736202,China)

机构地区：[1]中国石油天然气有限公司青海油田分公司勘探开发研究院数据中心,甘肃酒泉736202

出　　处：《无线互联科技》2025年第3期25-28,共4页Wireless Internet Science and Technology

摘　　要：为提高识别数据泄露风险的成功率,针对油田开发数据库的隐私数据,文章设计了一种新的数据泄露风险识别方法。首先,文章采用概率综合方式挖掘数据库中的隐私数据,找到潜在的隐私数据标识,判断隐私数据配置文件是否为敏感文件。然后,文章在油田开发数据库中对数据进行高效检索,获取敏感数据泄露问题。最后,文章计算了敏感恶意攻击配置文件主题上的概率均值,以此作为评估隐私数据泄露风险的指标,设置阈值对隐私泄露判定完成识别。实验结果表明,该方法识别出的数据库数据漏洞的数量超过90个,说明该方法具有较高的识别成功率。To improve the success rate of identifying data leakage risks,a new data leakage risk identification method is designed for the privacy data of oilfield development databases in this article.Firstly,the article adopts a probabilistic synthesis approach to mine privacy data in the database,identify potential privacy data identifiers,and determine whether the privacy data configuration file is a sensitive file.Then,the article efficiently retrieves data from the oilfield development database to identify sensitive data leakage issues.Finally,the article calculated the probability mean of sensitive malicious attack configuration file topics as an indicator for evaluating the risk of privacy data leakage,and set a threshold to complete the identification of privacy leakage judgments.The experimental results show that the number of database data vulnerabilities identified by this method exceeds 90,indicating that this method has a high recognition success rate.

关 键 词：油田开发数据库 隐私数据 数据泄露风险 风险识别 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]