Resilient mechanisms for reliable digital health services

Summary form only given. The complete presentation was not made available for publication as part of the conference proceedings. cyberattacks on specific personal’s services can be possible and might lead to medical malpractice. Therefore, it is necessary to understand the balance between their merits and risks of custom-made services and to take some measures to avoid the risks. An attacker who tries to falsify the health data of a specific person is required to keep consistency among all data, because we can expect the correlation among data from services used by the person and similarity among data of all users of each service. Such manipulation is almost impossible, so that we can be aware of the sign of cyberattacks by detecting inconsistency among the data and eliminate negative effect by falsified data. Such concepts of bird's-eye view detection are generally deployed as the safety mechanisms of operational technologies, like plant control, but we should take care of unique aspect of the health services. Therefore, we need to develop cyberattack detection scheme under these conditions. It is also expected that the scheme solves the reliability issues of digital health services, because malfunction of one service/sensor can be detected and its negative effect can be mitigated. Furthermore, we can design the combination of health services which can compensate missing data.