Detect & Protect-medical Device Cybersecurity

Abstract

Today, cybersecurity incidents have become a global challenge in many industries, even healthcare. Unlike those other industries, the healthcare industry is quite reluctant in cybersecurity protection, putting the systems at risk of cyberattack. This is somehow due to the complexity of the healthcare system and cybersecurity priority variability in different hospitals across the United States. Many hospitals across the country have no resources to counter sophisticated cyberattacks. An attack to the healthcare industry means an attack on medical devices, big data loss, and theft, even infrastructure. These can be very costly to the hospital, resulting in millions of dollars, downtime pressures, a damaged reputation, and loss of vaccinations and research. Therefore, the healthcare industry should invest in detecting and protecting medical device cybersecurity to harden the systems and monitor intrusion. Cybersecurity detection and protection involve using some programs, technologies, and behaviors in the hospital to improve cyber resiliency. However, some of these programs and technologies are not long-lasting or self-sustaining. Nevertheless, if adopted and implemented, they can maintain the healthcare system's ability to be resilient to cyberattacks. The detection and protection process uses artificial intelligence, machine learning, and natural language processing, among other digital technologies.