A Location Privacy and Query Privacy Joint Protection Scheme for POI Query in Vehicular Networks
In vehicular networks,the Point Of Interest(POI)query is widely used in Location-Based Services(LBS)for vehicle applications.However,since the attackers can easily access the location,query content,and other information,it is difficult to protect the LBS privacy of vehicle users only using location privacy protection or query privacy protection independently.Therefore,a location privacy and query privacy joint protection scheme based on dummy sequences is proposed.According to the limitations of the POI query,the correlations between location privacy and query privacy are modelled to obtain the correlation judgment model characterized by the Euclidean distance and the association rule algorithm.Moreover,based on dummy sequences,the joint protection is transformed into the dummy sequence selection according to the factors that affect user privacy and the correlation value of real query.Then a constrained multi-objective optimization model is established to obtain the query sequence with a high level of anonymity and a big cloaking region.Experimental results demonstrate that our scheme can resist joint attacks on location privacy and query privacy and protect users'LBS privacy more efficiently than existing schemes.