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Combined optimization of Quality of Service (QoS) and security/privacy has always been an overlooked topic among IT professionals. The main reason for this is the difficulty to formulate optimization problems with the various conflicting QoS, security, and privacy attributes. There is no closed-form solution to such an optimization problem and this is why there was a lack of a seamless integration of QoS and privacy in the literature for many decades. In an emerging smart society, data privacy has become a top priority, particularly in the healthcare domain, which deals with massive patient records, health data, and imaging data from a myriad of modalities. Storing and sharing such data across hospital networks requires not only privacy but also presents a considerable challenge in terms of QoS overheads due to the massive bandwidth needed. The closed-source medical record storage and sharing platforms …