Semantic Inference Model for Database Inference Detection Violation
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. The authors 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.