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Online Social Network with Secure Privacy

Author(s):

Kartik Bhokare , Zeal College Of Engineering And Research; Asif Patel, Zeal College Of Engineering And Research; Sushil Ohol, Zeal College Of Engineering And Research; Deepali Lokare, Zeal College Of Engineering And Research

Keywords:

Social network data, Privacy attacks, Anonymized graphs, Data Privacy preserving, XSS Filter, SQL Injection

Abstract

The introduction of online social networks which is use to not only connect but also interact with each other as well as share information. As social network data publication is unsafe to a wide variety of re-identification and declarative attacks, developing privacy preventing mechanisms is an active research area. This paper presents a survey of the recent developments in social networks data publishing privacy risks, attacks and privacy-preventing techniques. We survey and present various types of privacy attacks and information utilized by third party user to commit privacy attacks on anonymized social network data. The survey helps readers understand the various privacy preserving mechanisms as well as observe common themes and future directions.

Other Details

Paper ID: IJSRDV5I40204
Published in: Volume : 5, Issue : 4
Publication Date: 01/07/2017
Page(s): 513-514

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