Abstract: Healthcare Information Systems typically fall into the group of systems in which the need of data sharing conflicts with the privacy. A myriad of these systems have to, however, constantly communicate among each other. One of the ways to address the dilemma between data sharing and privacy is to use data obfuscation by lowering data accuracy to guarantee patient’s privacy while retaining its usefulness. Even though many obfuscation methods are able to handle numerical values, the obfuscation of non-numerical values (e.g., textual information) is not as trivial, yet extremely important to preserve data utility along the process. In this paper, we preliminary investigate how to exploit ontologies to create obfuscation mechanism for releasing personal and electronic health records (PHR and EHR) to selected audiences with different degrees of obfuscation. Data minimisation and access control should be supported to enforce different actors, e.g., doctors, nurses and managers, will get access to no more information than needed for their tasks. Besides that, ontology-based obfuscation can also be used for the particular case of data anonymisation. In such case, the obfuscation has to comply with a specific criteria to provide anonymity, so that the data set could be safely released. This research contributes to: state the problems in the area; review related privacy and data protection legal requirements; discuss ontology-based obfuscation and anonymisation methods; and define relevant healthcare use cases. As a result, we present the early concept of our Ontology-based Data Sharing Service (O-DSS) that enforces patient’s privacy by means of obfuscation and anonymisation functions.

Citation: Iwaya, Leonardo H. and Giunchiglia, Fausto and Martucci, Leonardo A. and Hume, Alethia and Fischer-H{\”u}bner, Simone and Chenu-Abente, Ronald, “Ontology-Based Obfuscation and Anonymisation for Privacy”, In “Privacy and Identity Management. Time for a Revolution? 10th IFIP WG 9.2, 9.5, 9.6/11.7, 11.4, 11.6/SIG 9.2.2 International Summer School, Edinburgh, UK, August 16-21, 2015, Revised Selected Papers”, 2016, Springer International Publishing, Cham, pages 343–358, isbn 978-3-319-41763-9, doi 10.1007/978-3-319-41763-9_23, http://dx.doi.org/10.1007/978-3-319-41763-9_23. New York, USA, July 2016.

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Abstract: In this paper, we introduce a privacy-enhanced Peer Manager, which is a fundamental building block for the implementation of a privacy-preserving collective adaptive systems computing platform. The Peer Manager is a user-centered identity management platform that keeps information owned by a user private and is built upon an attribute based privacy policy. Furthermore, this paper explores the ethical, privacy and social values aspects of collective adaptive systems and their extensive capacity to transform lives. We discuss the privacy, social and ethical issues around profiles and present their legal privacy requirements from the European legislation perspective. © IFIP International Federation for Information Processing 2015.

Citation: Mark Hartswood, Marina Jirotka, Ronald Chenu-Abente, Alethia Hume, Fausto Giunchiglia, Leonardo A. Martucci, Simone Fischer-Hübner. “Privacy for Peer Profiling in Collective Adaptive Systems.” Privacy and Identity Management for the Future Internet in the Age of Globalisation. Springer International Publishing, 2014. 237-252.

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Abstract: Society is moving towards a socio-technical ecosystem in which physical and virtual dimensions of life are intertwined and where people interactions ever more take place with or are mediated by machines. Hybrid Diversity-aware Collective Adaptive Systems (HDA-CAS) is a new generation of sociotechnical systems where humans and machines synergetically complement each other and operate collectively to achieve their goals. HDA-CAS introduce the fundamental properties of hybridity and collectiveness, hiding from the users the complexities associated with managing the collaboration and coordination of machine and human computing elements. In this paper we present an HDA-CAS system called SmartSociety, supporting computations with hybrid human/machine collectives. We describe the platform’s architecture and functionality, validate it on two real-world scenarios involving human and machine elements and present a performance evaluation.

Citation: O. Scekic, D. Miorandi, T. Schiavinotto, D. I. Diochnos, A. Hume, R. Chenu-Abente, H.-L. Truong, M. Rovatsos, I. Carreras, S. Dustdar, F. Giunchiglia, SmartSociety — A Platform for Collaborative People-Machine Computation, The 8th IEEE International Conference on Service Oriented Computing & Applications (SOCA’15), 19-21 October 2015, Rome, Italy.

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Abstract. We see the local content from peers organized in directories (i.e., on local ordered lists) of local representations of entities from the real world (e.g., persons, locations, events). Different local representations can give different “versions” of the same real world entity and use different names to refer to it. (e.g., George Lombardi, Lombardi G., Prof. Lombardi, Dad). Although the data from these directories are related and could complement each other, there are no links that allow peers to share and search across them. We propose a Distributed Directory System that constructs these connecting links and allows peers to: (i) maintain their data locally and (ii) find the different versions of a real world entity based on any name used in the network. We evaluate the approach in networks of different sizes using PlanetLab and we show that the results are promising in terms of the scalability.

Keywords: Name-Based Entity Search, P2P, Entity Directory

Citation: F. Giunchiglia and A. Hume. A Distributed Directory System. In 9th Int. Workshop on Scalable Semantic Web Knowledge Base Systems (SSWS) @ISWC2013.

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Abstract. We see the local content from peers organized in directories (i.e., on local ordered lists) containing local representations of entities from the real world (e.g., persons, locations, events). Different local representations can give different “versions” of the same real world entity and use different names to refer to it (e.g., Fausto Giunchiglia, Giunchiglia F., Prof. Giunchiglia). Although the names used in these directories connect data that could complement each other, there are no links that allow peers to share and search across them. We propose a Distributed Directory of Entities that makes explicit these connecting links and allows peers to: (i) maintain their data locally and (ii) find the different versions of a real world entity based on any name used in the network. The model we present exploits the name as the central (multi-value) attribute of entities and aims to convince readers of the importance of such names in a peer-to-peer scenario.

http://link.springer.com/chapter/10.1007%2F978-3-642-41242-4_47

Citation: F. Giunchiglia., A. Hume. (2013). A Distributed-entity Directory. Poster presentation at ESWC 2013 Workshop paper presentation at co-located SWCS 2013. Montpellier (FR).

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