Cryptographic Technology for Benefiting from Big Data

Abstract

"Big Data" technology is the process of collecting and storing large amounts and wide varieties of data sets, and extracting valuable information and/or knowledge by analyzing them. Big Data analytics plays an important role in improving business services and quality of life. However, Big Data might include personal information such as credit card data, health-related data, purchasing history, geographic location data, etc. In Big Data analytics, the data sets may be accessed not only by the data holders but also by the third parties. This indicates a potential privacy breach. In addition, when public cloud is used as a platform of Big Data analytics, the risk of privacy breach might further increase. To protect against such threats, it is desirable to develop encryption schemes which are as efficient as possible and encryption schemes which allow to perform computations on encrypted data without decrypting it. In this paper, we present some of the latest results of our research related to the above challenge for Big Data security and privacy.

Quality and Security in Big Data: Challenges as opportunities to build a powerful wrap-up solution

“…A Big Data Process, as shown in Fig. 2, consists of collecting and storing large amounts and wide varieties of data sets, and extracting valuable information and/or knowledge by analyzing the data sets [20].…”