SGX-PySpark: Secure Distributed Data Analytics
Do Le Quoc, Franz Gregor, Jatinder Pal Singh, Christof W. Fetzer · 2019
Data analytics is central to modern online services, particularly those data-driven. Often this entails the processing of large-scale datasets which may contain private, personal and sensitive information relating to individuals and organisations. Particular challenges arise where cloud is used to store and process the sensitive data. In such settings, security and privacy concerns become paramount, as the cloud provider is trusted to guarantee the security of the services they offer, including data confidentiality. Therefore, the issue this work tackles is “How to securely perform data analytics in a public cloud?”