Collection of location information is an essential element in surveillance environment. In this paper, we propose a numerical data de-identification method for privacy protection of personal location information.In this paper, numerical information is de-identified using inversion and shuffling. The original data cannot be obtained from the de-identified numerical information. Only those who know the seed of the pseudo random number such as the encryption key can restore the original data. Personal information can be secured based on the de-identification of numerical data.The proposed method is very efficient because a privileged person can perform range search queries on a non-identified database.In particular, it shows more effective than OPES, Bucketization, Index maintenance method, and MIN, MAX, COUNT operation can be performed on transformed data.Through this research, location information privacy can be protected in an intelligent surveillance environment. Especially in artificial intelligence-based intelligent surveillance environment, such research will be necessary.
Volume 11 | 07-Special Issue
Pages: 1801-1806