首页|National Technical University of Athens Reports Findings in Artificial Intelligence (Enhancing Internet of Medical Things security with artificial intelligence: A comprehensive review)
National Technical University of Athens Reports Findings in Artificial Intelligence (Enhancing Internet of Medical Things security with artificial intelligence: A comprehensive review)
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New research on Artificial Intelligence is the subject of a report. According to news reporting out of Athens, Greece, by NewsRx editors, research stated, “Over the past five years, interest in the literature regarding the security of the Internet of Medical Things (IoMT) has increased. Due to the enhanced interconnectedness of IoMT devices, their susceptibility to cyber-attacks has proportionally escalated.” Our news journalists obtained a quote from the research from the National Technical University of Athens, “Motivated by the promising potential of AI-related technologies to improve certain cybersecurity measures, we present a comprehensive review of this emerging field. In this review, we attempt to bridge the corresponding literature gap regarding modern cybersecurity technologies that deploy AI techniques to improve their performance and compensate for security and privacy vulnerabilities. In this direction, we have systematically gathered and classified the extensive research on this topic. Our findings highlight the fact that the integration of machine learning (ML) and deep learning (DL) techniques improves both the performance of cybersecurity measures and their speed, reliability, and effectiveness. This may be proven to be useful for improving the security and privacy of IoMT devices. Furthermore, by considering the numerous advantages of AI technologies as opposed to their core cybersecurity counterparts, including blockchain, anomaly detection, homomorphic encryption, differential privacy, federated learning, and so on, we provide a structured overview of the current scientific trends.”
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