Title | SDN\_Based Secure Healthcare Monitoring System(SDN-SHMS) |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Khayat, Mohamad, Barka, Ezedin, Sallabi, Farag |
Conference Name | 2019 28th International Conference on Computer Communication and Networks (ICCCN) |
Keywords | biomedical communication, Biomedical monitoring, Computer architecture, data privacy, elderly people, Expert Systems and Privacy, geriatrics, Health Care, HMS, Human Behavior, human factors, Internet of Things, IoT-based healthcare monitoring systems, IoT-based remote health monitoring systems, medical computing, Medical services, mobile applications, Monitoring, patient monitoring, privacy concern, pubcrawl, Scalability, SDN-SHMS, secure Healthcare Monitoring System, security, security concern, security integration framework, security platform, Sensors, Software Defined Network, software defined networking |
Abstract | Healthcare experts and researchers have been promoting the need for IoT-based remote health monitoring systems that take care of the health of elderly people. However, such systems may generate large amounts of data, which makes the security and privacy of such data to become imperative. This paper studies the security and privacy concerns of the existing Healthcare Monitoring System (HMS) and proposes a reference architecture (security integration framework) for managing IoT-based healthcare monitoring systems that ensures security, privacy, and reliable service delivery for patients and elderly people to reduce and avoid health related risks. Our proposed framework will be in the form of state-of-the-art Security Platform, for HMS, using the emerging Software Defined Network (SDN) networking paradigm. Our proposed integration framework eliminates the dependency on specific Software or vendor for different security systems, and allows for the benefits from the functional and secure applications, and services provided by the SDN platform. |
DOI | 10.1109/ICCCN.2019.8847097 |
Citation Key | khayat_sdn_based_2019 |