Semantic Inference Model For DatabaseInference Detection Violation
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 2
Abstract
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.
Authors and Affiliations
Rupali Chopade , Prof. B. N. Jagdale , Prof. Amit Savyanavar
Keywords
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