期刊名称：International Journal of Computer Science and Network Solutions
印刷版ISSN：2345-3397
出版年度：2018
卷号：6
期号：1
页码：1-9
出版社：International Journal of Computer Science and Network Solutions
摘要：Nowadays using social networks has widely been developed. For people publish too much private information about theirselves in this networks, their information may be attacked by adversary, so for data release the need of preserving people`s privacy in these networks is sensed. One of the methods of preserving private information is k-anonymization. Anonymization is always encountered with challenge of losing data. So the method that proceeds data anonymization while utility is as well preserved is needed. So in this research we are trying to create a proper model for preserving data privacy and preserving utility, by combination of method k-clustering and SFLA algorithm. For evaluation results of this model, three measures including, Transitivity, APL, ACC are used. Finally based on results it can be declared that proposed model, is a proper method for preserving privacy in social networks.
