Data sanitization for privacy preservation on Social Network
Prajakta Tambe, Deepali Rahul Vora · 2016
Online Social Networks (OSNs) are becoming increasingly important in our day to day lives. Statistics show that 74% of the Internet users are involved in social networking. Unfortunately many of us are unaware of the threats and vulnerabilities that come with OSNs. These issues can be resolved by using Data Sanitization; the process of disguising sensitive information by overwriting it with realistic looking but false data of a similar type. The system uses the method of gibberish word substitution to sanitize the keywords. Since nouns and verbs provide the most information in a sentence, they will be treated as keywords and the rest of the words will be treated as function words. The keywords will be sanitized using Stanford Natural language processing (NLP) Group's POStagger (Parts-Of-Speech) Application programming Interface (API).