期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：5
DOI：10.15680/ijircce.2015.0305004
出版社：S&S Publications
摘要：Big data concerns of large-volume, complex, growing data sets with multiple, autonomous sources.With the fast development of networking, data storage, and the data collection capacity, big data are now rapidlyexpanding in all science and engineering domains, including physical, biological and biomedical sciences. Datamining have challenges with big data. From all the challenges, existing systems focused on data privacy and datasecurity. Data privacy can protect using K- Anonymity technique and data security is implemented usingauthentication method. K- Anonymity is the method that annonymized data fields such that sensitive informationcannot be pinpointed to an individual record. But leakage of sensitive data are still there, so there must need a betterprivacy preserving technique. In this paper we are proposing an alternate method using Alpha K Anonymity in orderto obtain better privacy.
关键词：Randomization; Secure multiparty computation; K- Anonymity; Alpha K Anonymity
