Preserving Anonymity of Users Identity in Social Network Sites Using Integrated Algorithm

摘要：

Emerge of online social network sites is one of the hypes since the last decade which can threaten the privacy of online users. In this paper, first we review the history of social networks and their features. Then we examine some methods that can be used on online social networks in order to anonymize user information. Finally we try to propose a new heuristic method to protect users privacy on any kind of online social networks.

关键词： component: k-anonymity Clustering l-diversity

作者: Sanaz Kavianpour Zuraini Ismail

作者单位: University Technology Malaysia (UTM),Kuala Lumpur, Malaysia

会议类型: 国际会议

会议名称: 2010 International Conference on Information Security and Artificial Intelligence(2010年信息安全与人工智能国际会议 ISAI 2010)

会议地点: 成都

会议语种:英文

页码: 646-649

在线出版日期: 2010-12-17（万方平台首次上网日期，不代表论文的发表时间）