Privacy preservation on social network using data sanitization

Prajakta Tambe, Deepali Rahul Vora · 2016

Attack on privacy of the users on social media is a known phenomenon. A prominent example of this is the Facebook Beacon and the AOL search scandal. A social networking user is also prone to screen scrapping attack. Data Sanitization is the process of disguising sensitive information by overwriting it with realistic looking but false data of a similar type. We propose a system that will take user post as inputs and provide sanitized outputs where key words are sanitized using gibberish word substitution.

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