Data Privacy in Online Social Networks
نویسندگان
چکیده
The ever increasing volume of available social network datasets creates the need to derive anonymization methods that permit useful analysis of such datasets without disclosing any sensitive information regarding their users. In this article, we review the problem of privacy in online social networks focusing on related models and algorithms.
منابع مشابه
Analysis and Evaluation of Privacy Protection Behavior and Information Disclosure Concerns in Online Social Networks
Online Social Networks (OSN) becomes the largest infrastructure for social interactions like: making relationship, sharing personal experiences and service delivery. Nowadays social networks have been widely welcomed by people. Most of the researches about managing privacy protection within social networks sites (SNS), observes users as owner of their information. However, individuals cannot co...
متن کاملA centralized privacy-preserving framework for online social networks
There are some critical privacy concerns in the current online social networks (OSNs). Users' information is disclosed to different entities that they were not supposed to access. Furthermore, the notion of friendship is inadequate in OSNs since the degree of social relationships between users dynamically changes over the time. Additionally, users may define similar privacy settings for their f...
متن کاملA Sudy on Information Privacy Issue on Social Networks
In the recent years, social networks (SN) are now employed for communication and networking, socializing, marketing, as well as one’s daily life. Billions of people in the world are connected though various SN platforms and applications, which results in generating massive amount of data online. This includes personal data or Personally Identifiable Information (PII). While more and more data a...
متن کاملAnalyzing Tools and Algorithms for Privacy Protection and Data Security in Social Networks
The purpose of this research, is to study factors influencing privacy concerns about data security and protection on social network sites and its’ influence on self-disclosure. 100 articles about privacy protection, data security, information disclosure and Information leakage on social networks were studied. Models and algorithms types and their repetition in articles have been distinguished a...
متن کاملInterpersonal Trust in Online Scientific Social Networks: Causes and Results
Background and Aim: This study tends to investigate the reasons of interpersonal trust and the results of trust in online scientific social networks. Methods: The applied Research has been used cluster sampling to collect data. The study population consisted of Shiraz university and Persian Gulf university faculties. A sampling of 269 person was determined by Morgan table according to whole pop...
متن کاملChapter 10 PRIVACY IN SOCIAL NETWORKS: A SURVEY
In this chapter, we survey the literature on privacy in social networks. We focus both on online social networks and online af liation networks. We formally de ne the possible privacy breaches and describe the privacy attacks that have been studied. We present de nitions of privacy in the context of anonymization together with existing anonymization techniques.
متن کامل