Sensitive Information for Privacy on Social Networks

被引:0
作者
Wang, Ruby Ching-Ying [1 ]
Wang, Rui Yi [1 ]
Tai, Chih-Hua [1 ]
Yang, De-Nian [2 ]
机构
[1] Natl Taipei Univ, Dept Comp Sci & Informat Engn, New Taipei, Taiwan
[2] Acad Sinica, Inst Informat Sci, Taipei, Taiwan
来源
2016 CONFERENCE ON TECHNOLOGIES AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE (TAAI) | 2016年
关键词
privacy; sensitive information; social network;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
It might not seem dangerous for a person to leave some pieces of personal information on the Internet since everyone tends to do this. But the truth is that if someone ever tries to collect those pieces of information together, he might be able to find out the true identity of the person in reality after analyzing the collected data, which is what we call "cyber hunting". This work focuses on the question of "what kind(s) of personal information will lead to a higher risk of personal re-identification on the Internet?" To answer this question, we conducted a case study of PTT-and-FB linkage and share effective suggestions for Internet users to avoid being cyber hunted. At the end of this work, we found that the three attributes of gender, birthday and location are more sensitive compared to other attributes and users should prevent themselves from providing these kinds of information to secure their privacy.
引用
收藏
页码:46 / 51
页数:6
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