Enabling Data Sharing in Contextual Environments: Policy Representation and Analysis
Auteurs : Karafili E. and Lupu E.C.
Publication : In Proceedings of the 22nd ACM on Symposium on Access Control Models and Technologies (SACMAT ’17 short paper), Indianapolis, IN, USA, June 21–23, 2017. ACM, New York, NY, USA, 231-238
Internet of Things environments enable us to capture more and more data about the physical environment we live in and about ourselves. The data enable us to optimise resources, personalise services and offer unprecedented insights into our lives. However, to achieve these insights data need to be shared (and sometimes sold) between organisations imposing rights and obligations upon the sharing parties and in accordance with multiple layers of sometimes conflicting legislation at international, national and organisational levels. In this work, we show how such rules can be captured in a formal representation called « Data Sharing Agreements ». We introduce the use of abductive reasoning and argumentation based techniques to work with context dependent rules, detect inconsistencies between them, and resolve the inconsistencies by assigning priorities to the rules. We show how through the use of argumentation based techniques use-cases taken from real life application are handled flexibly addressing trade-offs between confidentiality, privacy, availability and safety.