Author: Chahid, Y.; Benabdellah, M.; Kannouf, N.
Title: Smart Hospitals and Cyber Security Attacks Cord-id: 9b81efnl Document date: 2021_1_1
ID: 9b81efnl
Snippet: Until now, the Covid-19 pandemic was infected more than 37,167,291 people around the world in 212 countries and territories, killed 1,071,181 people since its appearance in December in Wuhan, of which more than 7,876,942 people in the United States, 6,979,434 people in the India and 5,057,958 people in Brazil (Novel Coronavirus (2019-nCoV) situation reports - World Health Organization (WHO), 2019 Novel Coronavirus (2019-nCoV) in the U.S -. U.S. Centers for Disease Control and Prevention (CDC), s
Document: Until now, the Covid-19 pandemic was infected more than 37,167,291 people around the world in 212 countries and territories, killed 1,071,181 people since its appearance in December in Wuhan, of which more than 7,876,942 people in the United States, 6,979,434 people in the India and 5,057,958 people in Brazil (Novel Coronavirus (2019-nCoV) situation reports - World Health Organization (WHO), 2019 Novel Coronavirus (2019-nCoV) in the U.S -. U.S. Centers for Disease Control and Prevention (CDC), symptoms of Novel Coronavirus (2019-nCoV) – CDC, china Travel Advisory - U.S. State Department, accessed January 31, 2020.). This large number of infected people caused saturation in hospitals and put a big pressure on the intensive care units and hospital beds. While the medical staff are fighting to save the lives of these patients, others are playing with these lives by making cyber-attacks on research centers and health institutions, recently case was in September 2020, a woman in Germany died during a ransomware attack on the Duesseldorf University Hospital. Smart hospitals are one of the most affected because they use its technology (Smart hospitals) that generates a lot of personal and critical data, these hospitals are equipped with “things†that are used for patient monitoring, maintenance, remote operation and control like wearables, smart pills, smart beds, remote monitoring systems, RTHS (Real-time Health Systems), biosensors, glucose measurement devices, robots, equipment monitoring devices, and more. In this paper, we will propose a new secured system model to keep these hospital systems safe against cyber-attacks by using verification and classification of treatment requests and controlling the patients’ health using “sensors†to ensure the safety of the requested operations. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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