A Secure and Efficient Location-based Service Scheme for Smart Transportation

Abstract

With the advance of wireless communication techniques and the popularity of embedded devices, Location-Based Service (LBS) has gained a great attention in the Internet-of-Things (IoT) recently. For instance, in smart transportation, reporting all the drivers’ location in a regular frequency is conducive to sense urban traffic congestion. However, it also posts a serious threat to drivers’ privacy because of the exposure to the real-time location. To alleviate this problem, we propose a Secure and Efficient Location-based Service (SELS) scheme for smart transportation in this paper. In the SELS scheme, drivers first utilize smart phones to encrypt their location-based data and then outsource them to a cloud center incessantly. Then they have the ability to call the cloud center to compute the ciphertext of LBS queries, by using a secure homomorphic encryption scheme and group signature scheme. After decrypting the ciphertext, they obtain accurate results of the queries without sacrificing the location privacy. Furthermore, the SELS scheme also supports multi-dimension data by employing a weighted distance algorithm. Finally, the security of the SELS scheme is proved and the cost of computation and communication is analyzed, in order to prove the security and efficiency of the scheme.