Differentially Private Geospatial streams publish for VANETs

Abstract

With the development of vehicular Ad hoc Networks (VANENTs) technology, application in VANENTs has becomes an important role in human life. In practice, the location information of not all vehicles in VANENTs contains sensitive information. But traditional publish algorithm for geospatial stream for VANENTs based on differential privacy assumes that all the data in the geospatial stream contain sensitive information of users. As a consequence, utility of the traditional algorithm has been decreased. In this paper, a novel algorithm is proposed to publish geospatial stream, denoted as PGSV. PGSV make used of one-sided differential privacy to guarantee sensitive information. In the end, we make used of public dataset to verify efficiency of PGSV. The result show that PGSV have increased utility of published result and guaranteed security of published result.