t-Closeness

t-closeness aims to preserve not only diversity, but also distributional similarity in privacy protection. The distribution of sensitive values within an anonymized group should not deviate too far from the overall dataset distribution. This reduces the risk of inferring sensitive information by looking at a specific group. t-closeness provides a more refined defense against information disclosure attacks. It manages the delicate balance between statistical utility and privacy at a deeper level.