Algorithmic Protection Study Based on a Virtual Location

With the development of big data technology and wireless communication technology, Internet-of-Vehicles (IOV) has been widely used. In order to reduce the probability of traffic accidents and provide different functional services for vehicle operation. Location-based services (LBS) have become an important part of our daily lives and are gradually spreading to vehicle terminals, bringing convenience to people’s travel. However, while users enjoy the convenience provided by LBS, their location privacy information may be leaked, because the untrusted LBS server has all the information of the user in LBS, and may track the user in various ways or leak the user’s personal data to a third party, which is easy to bring unexpected losses. In today’s research, researchers have proposed schemes such as k-anonymity and Mix-zone in order to protect the user’s location privacy and trajectory routes. However, these programs also have some deficiencies and shortcomings. To better address these issues, this paper proposes a new location privacy protection scheme. Vehicles on the road can dynamically generate a false position based on moving vehicles around them to blur driving routes, and realize the location privacy protection. Through the experimental analysis, the performance of the two schemes is compared, and the proposed algorithm can guarantee the user’s location privacy while having a lower time cost.