Analyzing trajectory data can provide people with a higher quality of life. However, publishing directly will leak privacy. The authors propose publication method based on differential privacy (TDDP). TDDP consists two stages. In the location generalization stage, firstly, locations at each timestamp are clustered into classes by k-means++ algorithm, and then representative class is selected us...

Privacy-preserving data splitting is a technique that aims to protect privacy by storing different fragments of in locations. In this work we give new combinatorial formulation the problem. We see problem as purely problem, which have split attributes into way satisfies certain properties derived from processing and constraints. Using formulation, develop algebraic techniques obtain solutions p...

Although data protection is compulsory when personal shared, there no systematic method available to evaluate what extent each individual at risk of a privacy breach. We use collection measures that quantify how much information needed uncover sensitive information. Combined with visualization techniques, our approach can be used perform detailed analysis medical data. Because evaluated per var...