An Anonymous Data Collection Framework for Digital Community
Collected data in digital community containing sensi tive information about individuals or corporations and such infor mation should be protected.In this paper, a security framework based on (a, k)-anonymity for privacy preserving data collection in digital community is proposed.In our framework, aggregation nodes anonymize the collected data to a basic privacy level.Then,the base stations further anonymize the data to a deeper privacy level with encryption-generalizaiton operations.Experimental results and detailed theory analysis demonstrate that this method is effective in terms of privacy levels and data quality with low re source consumption.
anonymity digital community data collection privacy
LI Hongtao MA Jianfeng FU Shuai
School of Computer Science and Technology,Xidian University,Xi”an 710071,Shaanxi,China
国内会议
秦皇岛
英文
385-392
2013-09-01(万方平台首次上网日期,不代表论文的发表时间)