Analyze the Network Firewall Traffic of Malware Infecting IoT Firmware in Hospitals
陳卓賢, Lee Tsut-yan · 2024
The integration of Internet of Things (IoT) devices within healthcare facilities has brought significant advancements in patient care through increased data connectivity and medical monitoring capabilities. However, the rise in connectivity has also exposed these systems to a greater risk of cyber threats, specifically through targeted malware attacks. Extensive analyses conducted on network firewall traffic from hospital IoT devices reveal that malware such as Mozi, EwDoor, IoT Reaper, Mirai Fork, Hive, and Zusy are exploiting vulnerabilities distinctively suited to the IoT environment. These threats undermine not only the privacy and security of sensitive patient data but also the operational integrity of healthcare services. Through a robust combination of machine learning models and statistical analysis techniques, the study has identified and classified behavioral patterns and attack strategies of these malware variants, providing insights into their mechanisms and impact on healthcare operations. The research highlights the necessity for stringent cybersecurity measures, advocating for the implementation of advanced encryption standards, regular system updates, and comprehensive network monitoring to mitigate the potential risks posed by such cyber threats. Furthermore, policy recommendations are proposed to foster a culture of security awareness and compliance within healthcare institutions. The outcomes of this research underline the critical need for an integrated approach to cybersecurity in healthcare IoT settings, emphasizing both technological enhancements and strategic policy frameworks as essential to safeguarding vital healthcare services against sophisticated cyber-attacks.