Towards a Secure Cloud Repository Architecture for the continuous monitoring of patients with mental disorders

Dimitra Georgiou^1*Stamatis Katsaounis²Panagiotis Tsanakas²Ilias Maglogiannis¹Parisis Gallos¹

• ¹School of Information and Communication Technologies, Department of Digital Systems, University of Piraeus, Piraeus, Greece
• ²School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece

Advances in Information Technology are changing the way health systems work together, seeking better accessibility, efficiency, resilience, and quality of service. Wearable devices, such as smartwatches and mental health trackers, are capable of continuously recording biometric data. These devices can enhance the treatment of chronic disorders and significantly improve the overall quality of healthcare. However, these applications that collect sensitive data from sensors can pose several risks in terms of security and privacy of the patient’s medical data. As the existing architectures do not address these issues in a fully satisfactory way, this paper presents a security-by-design cloud-based repository architecture, using body sensors that facilitate the effective monitoring of patients and predict certain kinds of mental disorders. This paper presents a security-by-design, Elasticsearch-powered cloud architecture that secures continuous biometric monitoring across both wearable devices and backend systems. To ensure the security and privacy of a Body Sensor system, which is going to monitor the mental and physiological conditions of patients suffering from mental illnesses 24 hours a day - seven days a week, an efficient Secure and Private approach is also presented. The proposed Framework guarantees confidentiality, integrity and availability of medical data and addresses the security and privacy challenges of real-time collection using a configurable Elasticsearch engine.