Inference Detection and Database Security for a Business Environment

Abstract

The number of data collections of person-specific information is increasing exponentially. The risks of compromising privacy are also increasing, but can be limited through data anonymity and data security. Security models, developed for databases, differ in many aspects because they focus on different features of the problem, leading to incomplete implementations of the organizational security strategy. Our paper presents a multi-layer approach to data anonymity and database security, covering the entire process from inference detection to secure communication and database integrity. This approach is useful for protecting sensitive data and assuring in-depth mitigation of different possible attacks.