Analyzing Tools and Algorithms for Privacy Protection and Data Security in Social Networks

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Abstract

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 and this study builds a research model to examine privacy concerns and the effect of it on self-disclosure. The need of having knowledge and skill about privacy protection seems to be necessary with social networks technology developments. Most of the researches have been studied about privacy protection scope related to users’ privacy on social networks including women, men, children and adults in smartphone and E-health. Most of researches on this scope have been done in USA. Most studies were focused on privacy protection and security on social networks.

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