Data Security Approaches to Support Open Science on High-Performance Computing Systems

Research data must be shared with other researchers for further collaboration to support open science. Sharing data with other researchers will save time and money instead of replicating the same research and also enables collaboration. However, open science data are vulnerable to attacks, and attackers can exploit the system, which could lead to harmful consequences from data sharing. This paper explores open science data security challenges and prevention techniques. First, we will review state-of-the-art algorithms and techniques that have been proposed to secure data. Second, we show the difference between generic data security and HPC security and compare the strengths and weaknesses of these approaches. Finally, we suggest some options to address these problems.