Cybersecurity in Emerging Healthcare Systems
portes grátis
Cybersecurity in Emerging Healthcare Systems
Farhaoui, Yousef; Imoize, Agbotiname Lucky; Meshram, Chandrashekhar; Do, Dinh-Thuan; Awotunde, Joseph Bamidele
Institution of Engineering and Technology
09/2024
746
Dura
9781839539510
15 a 20 dias
Descrição não disponível.
Chapter 1: An overview of cybersecurity in emerging healthcare systems
Chapter 2: Cybersecurity in the Internet of Medical Things for healthcare applications
Chapter 3: Adaptive cybersecurity: AI-driven threat intelligence in healthcare systems
Chapter 4: Emerging trends in cybersecurity applications in healthcare systems
Chapter 5: Convolutional neural networks enabling the Internet of Medical Things: security implications, prospects, and challenges
Chapter 6: Deadly cybersecurity threats in emerging healthcare systems
Chapter 7: Artificial intelligence for secured cybersecurity in emerging healthcare systems
Chapter 8: Deep based anomalies detection in emerging healthcare system
Chapter 9: Smart contracts for automated compliance in healthcare cybersecurity
Chapter 10: Cybersecurity computing in modern healthcare systems
Chapter 11: Blockchain for secured cybersecurity in emerging healthcare systems
Chapter 12: The ethics of cybersecurity in emerging healthcare systems
Chapter 13: Examining the complex interactions between cybersecurity and ethics in emerging healthcare systems
Chapter 14: Securing modern insulin pumps with iCGM system: protecting patients from cyber threats in diabetes management
Chapter 15: Artificial intelligence and machine learning for DNS traffic anomaly detection in modern healthcare systems
Chapter 16: Harnessing edge computing for real-time cybersecurity in healthcare systems
Chapter 17: Enhancing healthcare data security: an intrusion detection system for web applications with SVM and decision tree algorithms
Chapter 18: Legal and regulatory policies for cybersecurity and information assurance in emerging healthcare systems
Chapter 19: Federated learning for enhanced cybersecurity in modern digital healthcare systems
Chapter 20: Directed acyclic graph-based blockchains for enhanced cybersecurity in the Internet of Medical Things
Chapter 21: Detection and mitigation of cyber attacks in healthcare systems
Chapter 22: Cybersecurity concerns and risks in emerging healthcare systems
Chapter 2: Cybersecurity in the Internet of Medical Things for healthcare applications
Chapter 3: Adaptive cybersecurity: AI-driven threat intelligence in healthcare systems
Chapter 4: Emerging trends in cybersecurity applications in healthcare systems
Chapter 5: Convolutional neural networks enabling the Internet of Medical Things: security implications, prospects, and challenges
Chapter 6: Deadly cybersecurity threats in emerging healthcare systems
Chapter 7: Artificial intelligence for secured cybersecurity in emerging healthcare systems
Chapter 8: Deep based anomalies detection in emerging healthcare system
Chapter 9: Smart contracts for automated compliance in healthcare cybersecurity
Chapter 10: Cybersecurity computing in modern healthcare systems
Chapter 11: Blockchain for secured cybersecurity in emerging healthcare systems
Chapter 12: The ethics of cybersecurity in emerging healthcare systems
Chapter 13: Examining the complex interactions between cybersecurity and ethics in emerging healthcare systems
Chapter 14: Securing modern insulin pumps with iCGM system: protecting patients from cyber threats in diabetes management
Chapter 15: Artificial intelligence and machine learning for DNS traffic anomaly detection in modern healthcare systems
Chapter 16: Harnessing edge computing for real-time cybersecurity in healthcare systems
Chapter 17: Enhancing healthcare data security: an intrusion detection system for web applications with SVM and decision tree algorithms
Chapter 18: Legal and regulatory policies for cybersecurity and information assurance in emerging healthcare systems
Chapter 19: Federated learning for enhanced cybersecurity in modern digital healthcare systems
Chapter 20: Directed acyclic graph-based blockchains for enhanced cybersecurity in the Internet of Medical Things
Chapter 21: Detection and mitigation of cyber attacks in healthcare systems
Chapter 22: Cybersecurity concerns and risks in emerging healthcare systems
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
healthcare technology; medical technology; medical systems; patient data; patient data security; patient data privacy; healthcare data science; intelligent healthcare; smart healthcare
Chapter 1: An overview of cybersecurity in emerging healthcare systems
Chapter 2: Cybersecurity in the Internet of Medical Things for healthcare applications
Chapter 3: Adaptive cybersecurity: AI-driven threat intelligence in healthcare systems
Chapter 4: Emerging trends in cybersecurity applications in healthcare systems
Chapter 5: Convolutional neural networks enabling the Internet of Medical Things: security implications, prospects, and challenges
Chapter 6: Deadly cybersecurity threats in emerging healthcare systems
Chapter 7: Artificial intelligence for secured cybersecurity in emerging healthcare systems
Chapter 8: Deep based anomalies detection in emerging healthcare system
Chapter 9: Smart contracts for automated compliance in healthcare cybersecurity
Chapter 10: Cybersecurity computing in modern healthcare systems
Chapter 11: Blockchain for secured cybersecurity in emerging healthcare systems
Chapter 12: The ethics of cybersecurity in emerging healthcare systems
Chapter 13: Examining the complex interactions between cybersecurity and ethics in emerging healthcare systems
Chapter 14: Securing modern insulin pumps with iCGM system: protecting patients from cyber threats in diabetes management
Chapter 15: Artificial intelligence and machine learning for DNS traffic anomaly detection in modern healthcare systems
Chapter 16: Harnessing edge computing for real-time cybersecurity in healthcare systems
Chapter 17: Enhancing healthcare data security: an intrusion detection system for web applications with SVM and decision tree algorithms
Chapter 18: Legal and regulatory policies for cybersecurity and information assurance in emerging healthcare systems
Chapter 19: Federated learning for enhanced cybersecurity in modern digital healthcare systems
Chapter 20: Directed acyclic graph-based blockchains for enhanced cybersecurity in the Internet of Medical Things
Chapter 21: Detection and mitigation of cyber attacks in healthcare systems
Chapter 22: Cybersecurity concerns and risks in emerging healthcare systems
Chapter 2: Cybersecurity in the Internet of Medical Things for healthcare applications
Chapter 3: Adaptive cybersecurity: AI-driven threat intelligence in healthcare systems
Chapter 4: Emerging trends in cybersecurity applications in healthcare systems
Chapter 5: Convolutional neural networks enabling the Internet of Medical Things: security implications, prospects, and challenges
Chapter 6: Deadly cybersecurity threats in emerging healthcare systems
Chapter 7: Artificial intelligence for secured cybersecurity in emerging healthcare systems
Chapter 8: Deep based anomalies detection in emerging healthcare system
Chapter 9: Smart contracts for automated compliance in healthcare cybersecurity
Chapter 10: Cybersecurity computing in modern healthcare systems
Chapter 11: Blockchain for secured cybersecurity in emerging healthcare systems
Chapter 12: The ethics of cybersecurity in emerging healthcare systems
Chapter 13: Examining the complex interactions between cybersecurity and ethics in emerging healthcare systems
Chapter 14: Securing modern insulin pumps with iCGM system: protecting patients from cyber threats in diabetes management
Chapter 15: Artificial intelligence and machine learning for DNS traffic anomaly detection in modern healthcare systems
Chapter 16: Harnessing edge computing for real-time cybersecurity in healthcare systems
Chapter 17: Enhancing healthcare data security: an intrusion detection system for web applications with SVM and decision tree algorithms
Chapter 18: Legal and regulatory policies for cybersecurity and information assurance in emerging healthcare systems
Chapter 19: Federated learning for enhanced cybersecurity in modern digital healthcare systems
Chapter 20: Directed acyclic graph-based blockchains for enhanced cybersecurity in the Internet of Medical Things
Chapter 21: Detection and mitigation of cyber attacks in healthcare systems
Chapter 22: Cybersecurity concerns and risks in emerging healthcare systems
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
