群智能感知网络中时空众包用户隐私保护研究

Research on privacy protection of spatiotemporal crowdsourcing users in swarm intelligent sensing networks

随着智能移动设备技术和移动互联网技术的蓬勃发展,时空众包用户隐私保护成为群智能感知网络的热门话题。在分析攻击者模型的基础上,提出结合k-匿名与差分隐私的位置保护模型。同时利用分布式动态汇聚方法加快感知数据的传输速度以及斯塔克伯格博弈平衡服务质量和用户保护力度的平衡性。仿真结果表明,结合k-匿名和差分隐私保护模型相比较单一隐私保护机制拥有更高的隐私保护等级。当最大服务质量阈值约为1 km时,服务质量损失和隐私保护力度几乎相等。

with the rapid development of intelligent mobile device technology and mobile Internet technology,spatiotemporal crowdsourcing user privacy protection has become a hot topic in swarm intelligent sensing network.Based on the analysis of the attacker model,a location protection model combining k-anonymity and differential privacy is proposed.At the same time,the distributed dynamic aggregation method is used to accelerate the transmission speed of sensing data,and the Stackelberg game is used to balance the quality of service and user protection.The simulation results show that the combination of k-anonymity and differential privacy protection model has higher privacy protection level than single privacy protection mechanism.When the maximum QoS threshold is about 1km,the QoS loss and privacy protection are almost equal.