Public Health Care Cybersecurity Challenges and Solutions for Cyber-Attacks on Critical Health Infrastructure
DOI:
https://doi.org/10.70135/seejph.vi.938Keywords:
Health care data, attacks, protocols, Artificial intelligenceAbstract
The opportunities for public health care and safety are especially high, and the healthcare industry is particularly susceptible to cybersecurity threats. Cybercriminals find healthcare facilities appealing due to their size, reliance on technology, handling of sensitive data, and susceptibility to certain disruptions. The Internet of Things, or IoT, has gained a lot of traction in recent years due to its many benefits, which include reduced costs, time savings, enhanced user comfort, and effective use of electricity. The most crucial component of the cyber-physical system is the low-capacity sensor node. These components are diverse in nature and can function as hosts or clients on the internet by connecting via a wireless network. The well-known security features found in desktop computers are inoperable on these systems because of resource constraints such low processor power, low storage capacity, and low energy backup. The suggested study uses SNMP in conjunction with an ANN classifier and secure data transmission to detect cybersecurity attacks on healthcare data and medical devices. The vulnerabilities in the security of IoT-centric systems give rise to privacy concerns that impact the use of smart environment applications.
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