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Social Network Sites(SNSs) are interesting platforms for online users to share information. The revealed sensitive data of users may be disseminated to malicious parties through these sites vulnerabilities.Thus,users data need to be preserved from privacy concerns.The proposed anonymity algorithm which includes the basic concepts of two main privacy algorithms: K-Anonymity and L-Diversity,will protect users data from re-identification. This optimized method will improve and guarantee the users' privacy from malicious parties who tried to get access to users sensitive information.

Produktbeschreibung
Social Network Sites(SNSs) are interesting platforms for online users to share information. The revealed sensitive data of users may be disseminated to malicious parties through these sites vulnerabilities.Thus,users data need to be preserved from privacy concerns.The proposed anonymity algorithm which includes the basic concepts of two main privacy algorithms: K-Anonymity and L-Diversity,will protect users data from re-identification. This optimized method will improve and guarantee the users' privacy from malicious parties who tried to get access to users sensitive information.
Autorenporträt
Sanaz Kavianpour, Computer Science: Studied Information Security at Universiti teknologi malaysia,Kuala Lumpur, Malaysia.