Policy Generation for Privacy Protection Based on Granular Computing

摘要：

Privacy is an increasingly cited concept in the large-scale deployment of web services in pervasive computing. The necessity of putting dataowners personal information online and unwanted intentions to access data-owners information augment the risk of privacy disclosure. To address this problem, we propose a policy-based privacy protection mechanism that protects personal information by policy from privacy violations. The policy is automatically generated based on granular computing, which attains policies about information disclosure degree from the historical access records, and dataowners feedback improves the accuracy of our algorithm. Due to the obvious advantages to describing problem spaces at different granularities and hierarchies in granular computing, we present Infospace, a framework for storage and description of personal information in different predefined hierarchies. Besides, through case study we show the effectiveness of our new mechanism.

关键词： Pervasive computing privacy Infospace access control policy granular computing feedback

作者: Zhen Qin Xian-ping Tao Yu Huang Jian Lu Tao Wu

作者单位: Department of Computer Science and Technology Nanjing University Nanjing, Jiangsu 210093, P. R. Chin Department of Computer Science and Technology Anhui University Hefei, Anhui 230601, P. R. China

会议类型: 国际会议

会议名称: 2010 Seventh Web Information System and Applications Conference(第七届全国web信息系统及其应用学术会议)

会议地点: 呼和浩特

会议语种:英文

页码: 53-58

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）