基于相似路径的位置隐私保护方法

目前，基于位置隐私的保护技术大多针对用户进行单次LBS请求进行设计，只考虑保护当前真实用户所在位置，而忽略了真实用户连续多次查询时存在的协作用户交叠导致真实用户位置泄露的情况，进而攻击者可根据真实用户位置点进行轨迹预测，最终获取真实用户运动轨迹，导致真实用户位置隐私的泄露.本文针对上述情况，在用户发起连续LBS请求时，提出了基于相似路径的位置隐私保护方法（LPBSP），首先通过网格结构中历史用户密度进行一定均衡处理，使之符合真实的环境条件；然后对前后相邻时刻构造的相似路径进行轨迹偏移度、速度相似度等进行一定条件约束，使其更加贴近真实用户，从而混淆攻击者，达到位置隐私保护的目的，最后本文通过实验对比验证了本文在匿名成功率、执行时间及位置隐私保护度方面的可行性.

Location Privacy Protection Method Based on Similar Path

At present, most of the protection technology based on location privacy is designed for the user to carry out a single LBS request, it only protects the location of the current real user, but ignores the situation where the real user location is leaked by the cooperative user''s overlapping when the real user is repeatedly queried. In this scenario, location prediction based on the real user position is used by the attacker to track the real user trajectories, resulting in the leakage of real user location privacy. In this study, a Location Privacy Protection Method Based on Similar Path (LPBSP) is proposed when the user initiates a continuous LBS request. Firstly, a certain equilibrium process is carried out through the history user density in the grid structure to make it conform to the real environment conditions, and then the similar path constructed in the adjacent time is carried out. The trajectory offset and speed similarity are constrained to make it closer to the real users, so as to confuse the attackers and achieve the purpose of location privacy protection. Finally, the feasibility of anonymous success rate, execution time, and location privacy protection is verified by simulation experiments.