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The sudden adoption of artificial intelligence (AI) in modern healthcare systems has created radical possibilities in clinical decision support, diagnostics, and patient management. However, these technological innovations are closely related to serious problems pertaining to algorithmic bias that can trigger the occur...
This book offers a practical guide to securing smart Internet of Things (IoT)-based healthcare devices against cyber threats through hands-on tools, threat modeling, risk scoring, and artificial intelligence (AI)-enhanced defenses. Healthcare is undergoing rapid digital transformation, with smart IoT devices from weara...
The healthcare industry collects large volumes of sensitive information every day; however, it shares these data only to a limited extent because of regulatory requirements, competitive concerns, and other constraints. This makes it difficult to develop AI models for cybersecurity applications. The proposed solution is...
The rapid proliferation of digital infrastructure, spanning cloud computing, the Internet of Things (IoT), edge networks, and mobile platforms, has dramatically expanded the attack surface available to cybercriminals. Traditional signature-based intrusion detection systems, while effective against known threats, are fu...
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