Preserving Privacy in Social Network Sites using Anonymity Algorithm Год выпуска: 2013Автор: Sanaz Kavianpour and Zuraini IsmailИздательство: LAP Lambert Academic PublishingСтраниц: 100ISBN: 9783659441493Описание 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.
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Ирина Большое спасибо за диплом после вашего сопровождения. 2 июня была защита, все замечательно: рецензию написали отличную, очень хорошо, что были приложения, никаких претензий нет. Вам еще раз большое спасибо и никаких претензий к Вам нет.
