计算机工程与应用2018，Vol.54Issue(2)：119-124,6.DOI:10.3778/j.issn.1002-8331.1707-0325
抗基于历史轨迹预测攻击的动态K-匿名算法
摘要
Abstract
K-anonymity for location privacy is widely applied in LBS privacy protection.However,most of the researches based on K-anonymity mechanism do not consider the attackers'background knowledge.Thus,a dynamic anonymity algorithm for resisting the trajectory prediction attack is proposed.The similar historical trajectories of the user's base tra-jectory are picked out using the sliding-window constraint.Then the trajectories are used to predict the next location of the user.Further,neighboring historical data is added to the vulnerable locations to resist the prediction attack.Compared with the similar algorithm, experimental results show that the algorithm has better prediction performance, and reduces the privacy disclosure risk under the same privacy requirements.关键词
K-匿名/隐私保护/预测攻击/滑动窗口Key words
K-anonymity/privacy protection/prediction attack/sliding-window分类
信息技术与安全科学引用本文复制引用
李成龙,吕鑫,李鑫..抗基于历史轨迹预测攻击的动态K-匿名算法[J].计算机工程与应用,2018,54(2):119-124,6.基金项目
国家重点研发计划(No.2016YFC0400910) （No.2016YFC0400910）
国家重大专项(No.2017ZX07104-001). （No.2017ZX07104-001）
