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

机译:安全高效的基于位置的智能交通服务方案

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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.
机译:随着无线通信技术的进步以及嵌入式设备的普及,基于位置的服务(LBS)在物联网(IoT)中得到了极大的关注。例如,在智能交通中,定期报告所有驾驶员的位置有利于感知城市交通拥堵。但是,由于暴露于实时位置,它也严重威胁了驾驶员的隐私。为了缓解这个问题,我们提出了一种用于智能交通的安全高效的基于位置的服务(SELS)方案。在SELS方案中,驱动程序首先利用智能手机加密其基于位置的数据,然后不断将其外包给云中心。然后,他们可以使用安全的同态加密方案和组签名方案来呼叫云中心以计算LBS查询的密文。解密密文后,他们可以获得准确的查询结果,而不会牺牲位置隐私。此外,SELS方案还通过采用加权距离算法来支持多维数据。最后,证明了SELS方案的安全性,并分析了计算和通信成本,以证明该方案的安全性和有效性。

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