Category: Research

RestAssured: Securing Cloud Analytics – SYSTOR 2018

The secure analytics platform used in RestAssured, and developed by partner organisation IBM Research, was presented at the ACM International Systems and Storage Conference (SYSTOR) in June 2018. The accepted poster, “RestAssured: Securing Cloud Analytics”, which details the approach and the associated technologies such as Intel SGX, Apache Spark SQL and Opaque, has been published and […]

Open Source – Trust Management in Intel SGX Enclaves

“Intel SGX (Software Guard Extension) technology, available in Skylake and later processors, allows to create secure memory regions (enclaves) protected with hardware encryption in the SoC (system on chip). The data is in cleartext only inside the processor. It is encrypted in the SoC before leaving to the main memory, and decrypted in SoC upon […]

Presentation at the Modellierung 2018 Conference

“Towards a run-time model for data protection in the cloud” – this was the title of the presentation given by Dr. Zoltan Mann from paluno (The Ruhr Institute for Software Technology) of the University of Duisburg-Essen at the Modellierung 2018 conference ( in Braunschweig.   Modellierung has been organized by the German Informatics Society (Gesellschaft […]

Implementation of the First Version of the Data Gatekeeper

The Data Life Cycle is the sequence of stages that a unit of data goes through from its creation to its deletion. The Data Life Cycle specifies 4 operations on data, namely Create, Read, Update and Delete. The Data Life Cycle management is a crucial requirement for businesses that handle personal data. When these businesses […]

RestAssured Project Collaboration with UC Berkeley RISELab

The RestAssured platform aims to create a secure environment for processing highly sensitive data, with strict consent-based rules governing access to personal data, and with pro-active risk analysis and adaptation.   As part of IBM’s work on RestAssured, we have identified the Opaque open source technology, being developed by the UC Berkeley RISELab team, as […]