Security and privacy of big data for social networking services in cloud

Abstract

Big Data (BD) is of great importance especially in wireless telecommunications field. Social Networking (SNg) is one more fast-growing technology that allows users to build their profile and could be described as web applications. Both of them face privacy and security issues. In this paper, we survey SNg, BD and Cloud Computing (CC) technology and their basic characteristics, by concentrating on the security issues of those technologies. Specifically, we aim at combining the functionality of these two technologies (i.e Big Data and Social Networking) in a CC environment, so that we can analyze the common features and ascertain the advantages of their integration related to security issues. Through this research, we present a new system-framework-network in Cloud Environment through which users of various Social Networks (SNs) will be able to exchange data and information, and primarily large-scale data (Big Data). With our proposed system, we can achive greatly improve of the communication of SN users, and thus become more safe and accurate in a Cloud environment. More specifically, this system could be established as an intermediate communication node that could be utilized in order to improve the security of SNg's users through the use of algorithms that can provide more privacy in the data related to BD technology. Also, in this work we present some measurements and results relative to our proposed system use. Finally, the opportunity to create a database through which each user can view the statistics of his interaction with the SNg is further discussed.