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Semantic Inference Model For Database Inference Detection Violation

机译:违反数据库推理检测的语义推理模型

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摘要

Database Security has become a major problem in modern day?s applications. Generally for Information security everybody tries to protect sensitive data by using different security techniques. Despite these security measures, a malicious user can access non-sensitive information and can infer sensitive data from it. We hereby investigate a semantic inference model based on non-deterministic approach to avoid the database inference problem. This model can work for single user as well as for multi user environment. Here Work is focused on employee information access. Probability of each employee goes on increasing on each query request. When a user poses a query, detection system will examine users past query log for last three days and calculates probability. If probability exceeds than the specified threshold, the query will be denied for that day. Also, to monitor activities, security officer can generate log.
机译:数据库安全性已成为当今应用程序中的主要问题。通常,为了信息安全,每个人都尝试使用不同的安全技术来保护敏感数据。尽管采取了这些安全措施,恶意用户仍可以访问非敏感信息并可以从中推断出敏感数据。我们在此研究一种基于非确定性方法的语义推理模型,以避免数据库推理问题。该模型可以用于单用户以及多用户环境。这里的工作重点是员工信息访问。每个雇员的概率在每个查询请求上都在增加。当用户提出查询时,检测系统将检查用户过去三天过去的查询日志并计算概率。如果概率超过指定的阈值,则该天将拒绝查询。另外,要监视活动,安全员可以生成日志。

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