Pasquier, ThomasSingh, JatinderBacon, JeanHermant, Olivier2018-06-202015Pasquier, Thomas F. J.-M., Jatinder Singh, Jean Bacon, and Olivier Hermant. 2015. Managing Big Data with Information Flow Control. In 8th IEEE International Conference on Cloud Computing (CLOUD 2015), New York, June 27, 2015-July 2, 2015, New York.http://nrs.harvard.edu/urn-3:HUL.InstRepos:37140360Concern about data leakage is holding back more widespread adoption of cloud computing by companies and public institutions alike. To address this, cloud tenants/applications are traditionally isolated in virtual machines or containers. But an emerging requirement is for cross-application sharing of data, for example, when cloud services form part of an IoT architecture. Information Flow Control (IFC) is ideally suited to achieving both isolation and data sharing as required. IFC enhances traditional Access Control by providing continuous, data-centric, cross- application, end-to-end control of data flows. However, large-scale data processing is a major requirement of cloud computing and is infeasible under standard IFC. We present a novel, enhanced IFC model that subsumes standard models. Our IFC model supports ‘Big Data’ processing, while retaining the simplicity of standard IFC and enabling more concise, accurate and maintainable expression of policy.en-USInformation Flow ControlData ManagementSecurityConference Paper2017-12-0720152018-06-2010.1109/CLOUD.2015.76