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			\chapter{Conclusion and Future Work}

			In this work I have analyzed a new cryptographic solution which provides efficient susceptibility tests while ensuring privacy of genomic and non-genomic data to patients. The new solutions based on ElGamal cryptosystem on elliptic curve has shown to significantly reduce the storage overhead as well as the delay of a risk test. That significant reduction of storage directly induces a storage cost reduction that could lead to a faster rate of adoption of the framework by a health-care system.\par

			In the deployment part of this project, I realized that deploying such an application into production leads to multiple challenges.
			Extending a Proof of Concept to an application deployable in a national research organization requires multiple adaptations of the initial design.
			I became aware of the importance of a good specification gathering before starting the design and implementation of a system.
			Other non-technical factors influenced the design decisions, such as the skills of a given team, the slow deployment of a high-performance system against the fast deployment of a low-performance system or also coping with organizations internal policies.\par

			In order to fully deploy this framework, many improvements are to be made. The development of a web service providing the features that the current server application did so far has to be completed. The leakage of test information along with the material requests has to be discussed and corrected by design and an access control solution has to be studied. The user experience could also be enhanced. Providing susceptibility tests from a mobile device would allow a faster access to the service to practicians. A usability study has to be made to analyze the benefits such mobile application could have.\par

			On a personal basis, I had a lot of pleasure being involved in this project as it allowed me to put into practice multiple cross-domain skills as well as getting to know multiple new technologies. The fact that such a work could bring a real improvement to the current State of the Art in genomic privacy has been a factor driving me throughout this project.\\[4em]

			\section*{Acknowledgment}
			I would like to thank Prof. Jean-Pierre Hubaux for having entrusted me to do this exciting project with him and his team, Dr. Erman Ayday for his feedbacks on my work and Dr. Ari Juels for this inputs and feedbacks on the early stages of this project.
			I would like to extend a special thank you to my supervisor Jean Louis Raisaro for the continuous feedback he gave on my work, for the numerous brainstorming sessions we did together, for having shared with me the knowledge he had acquired for the last years on genomic privacy and for his friendly support.