An Effective Model for Anonymizing Personal Location Trajectory
文献类型：会议论文
| 作者 | A S M Touhidul Hasan; Qingshan Jiang; Chengming Li; Lifei Chen |
| 出版日期 | 2016 |
| 会议名称 | ICCNS2016 |
| 会议地点 | 新加坡 |
| 英文摘要 | Improvement of mobile computing and sensory technology has facilitated to collect and analyze the human mobility and physiological features in a real time. In this paper, we analyze the challenges of preserving the user location privacy for location based mobile application such as health wellness initiative. To anonymize location trajectory we introduce the global locations sets, and it is a useful model to finish the anonymization process more efficiently. The proposed privacy model will effectively anonymize the user location trajectory while it is submitting for future processing and analysis. We believe that the privacy model of this paper might help the business organizations to implement location based applications such as wellness initiative and so on with ensuring more personal privacy. Experimental results show that the privacy model can effectively anonymize location trajectory and can keep the more data utility than the existing perturbation method. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/10307]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | 2016 |
| 推荐引用方式 GB/T 7714 | A S M Touhidul Hasan,Qingshan Jiang,Chengming Li,et al. An Effective Model for Anonymizing Personal Location Trajectory[C]. 见:ICCNS2016. 新加坡. |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。