A Conceptual Framework for Measuring Personal Privacy Risks in Facebook Online Social Network

被引：2

作者：

Al-Asmari, Hanan A. ^{[1
]}

Saleh, Mohamed S. ^{[2
]}

机构：

[1] Prince Sattam Bin Abdulaziz Univ PSAU, Coll Sci & Humantities Hawtat Bani Tamim, Dept Informat Syst, Alkharj, Saudi Arabia

[2] Imam Mohammad Ibn Saud Islamic Univ IMSIU, Coll Comp & Informat Sci, Dept Informat Syst, Riyadh, Saudi Arabia

来源：

2019 INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCES (ICCIS) | 2019年

关键词：

Online Social Networks (OSNs); privacy measurements; privacy metrics; privacy behaviors;

D O I：

10.1109/iccisci.2019.8716477

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

There is no doubt that personal privacy in Online Social Networks (OSNs) is one of the main concerns of the users worldwide, especially with the serious privacy violations that Facebook network suffered recently. There are several concerns about privacy across different disciplines, cultures, and societies. In order to tackle the problems of diverse privacy issues and purposefully actions users, it could be useful to identify and analyze the different users' behavior of privacy. To achieve this ultimate goal, we propose a conceptual framework for measuring personal privacy risks in Facebook Online Social network This framework considers three main dimensions for calculating privacy metrics of content areas in Facebook, which are Friend lists' conflict evaluation, unstructured content measurements, and scoring of profile attributes. Based on these considerations, users' behaviors are classified mainly into privacy fundamentalist users, privacy pragmatist users, and privacy ignorance users. This framework could be used by researchers to develop tools for personal privacy identifications and to recommend better practices for improving users' presence on Facebook.

引用

页码：372 / 377

页数：6

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