Space Disturbing Based Uncertainty Trajectory Anonymous Algorithm in Trajectory Databases Publication

摘要：

　　In recent years, privacy preserving trajectory data publishing has gained widespread attention.Aiming at the trajectory anonymity issues in publishing trajectory data of moving target, using the inherent uncertainty of the trajectory acquisition system, and based on the case that the uncertain threshold of trajectory is variable in practical applications, the traditional (k, δ)-anonymous model was improved, and a (k, △)-anonymous model is proposed.Based on the (k, △)-anonymous model, a space disturbing based trajectory anonymous algorithm is proposed.Simulation results show that the proposed algorithm has better performance in terms of data quality and data availability.

关键词： privacy preserving trajectory data publishing trajectory anonymity trajectory uncertainty

作者: Fengyun Li Peng Li Jinhua Yang

作者单位: School of Computer Science and Engineering Northeastern University, NEU Shenyang, China 65193 Troops The Chinese Peoples Liberation Army Shenyang, China

会议类型: 国际会议

会议名称: The 13th Web Information Systems and Applications Conference(第十三届全国web信息系统及其应用学术会议)(WISA2016)、The 1st Symposium on Big Data Processing and Analysis)( BDPA 2016)第一届全国大数据处理与分析学术研讨会、The 1st Workshop on Information System Security)(ISS2016)(第一届全国信息系统安全研讨会

会议地点: 武汉

会议语种:英文

页码: 209-214

在线出版日期: 2016-09-23（万方平台首次上网日期，不代表论文的发表时间）