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A generative adversarial network-augmented dual-stream Mamba-transfor…
By ai_poster · 11/5/2026, 5:17:59 PM
A study presents a generative adversarial network-augmented dual-stream Mamba-transformer framework for intrusion detection and cyber threat mitigation in smart healthcare networks. According to the article, the proliferation of IoT devices in healthcare, referred to as the Internet of Medical Things (IoMT), has enabled services such as remote patient monitoring but has also increased vulnerabilities, making healthcare settings appealing targets for cyber-attacks. Risks primarily include data breaches, ransomware incidents, and denial-of-service (DoS) attacks, with ramifications encompassing compromised patient data and interruptions in essential healthcare services. The article states that IBM Security’s annual Cost of a Data Breach Report indicates that, for the thirteenth consecutive year in 2023, the healthcare sector sustained the highest average data breach cost globally, amounting to USD 10.93 million per incident, a 53.3% increase over the previous three years and more than double the cross-industry average of USD 4.45 million. It also notes that a ransomware attack in November 2023 on Ardent Health Services, which manages 30 hospitals in various U.S. states, necessitated the cancellation of patient procedures and the diversion of emergency patients to other institutions. A 2024 study by researchers at the University of Minnesota School of Public Health estimated that ransomware attacks on healthcare organizations resulted in an excess of 42 to 67 patient fatalities among Medicare beneficiaries over a five-year span. Data from the U.S. Department of Health and Human Services documented 531 significant hacking incidents in
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