مؤتمر
Empowering users of social networks to assess their privacy risks
| العنوان: | Empowering users of social networks to assess their privacy risks |
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| المؤلفون: | Estivill-Castro, Vladimir, Hough, Peter, Islam, Md Zahidul |
| بيانات النشر: | IEEE |
| سنة النشر: | 2014 |
| المجموعة: | Griffith University: Griffith Research Online |
| مصطلحات موضوعية: | Pattern Recognition and Data Mining |
| جغرافية الموضوع: | Washington, DC |
| الوقت: | 2014-10-27 to 2014-10-30, Washington, DC |
| الوصف: | Millions of users place data about themselves on on-line social networks and, while probably they have an interest on some of this information to be publicly available, they certainly may consider some of this information shall remain confidential. Simultaneously, the data provides benefits as such data enables personalization which increases the quality of service; and thus, it is regularly analyzed with data mining techniques. Since privacy directly correlates to the control users have regarding the data about themselves, this paper provides a technique by which operators of on-line social networks can improve the service to their users by empowering the users to appraise the privacy risks that some information they provide results in others inferring confidential attributes. ; Griffith Sciences, School of Information and Communication Technology ; Full Text |
| نوع الوثيقة: | conference object |
| اللغة: | English |
| ردمك: | 978-1-4799-5665-4 1-4799-5665-1 |
| تدمد: | 2639-1589 |
| العلاقة: | 2014 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA); IEEE International Conference on Big Data; http://cci.drexel.edu/bigdata/bigdata2014Test/; http://hdl.handle.net/10072/67834Test |
| DOI: | 10.1109/BigData.2014.7004287 |
| الإتاحة: | https://doi.org/10.1109/BigData.2014.7004287Test http://hdl.handle.net/10072/67834Test |
| حقوق: | © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. ; open access |
| رقم الانضمام: | edsbas.A897CDEE |
| قاعدة البيانات: | BASE |
| ردمك: | 9781479956654 1479956651 |
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| تدمد: | 26391589 |
| DOI: | 10.1109/BigData.2014.7004287 |