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Mitigating cyber threats in healthcare systems: the role of artificial intelligence and machine learning
6
Zitationen
7
Autoren
2023
Jahr
Abstract
As we move further into the digital era, the importance of cybersecurity becomes increasingly apparent, especially in the healthcare industry, where sensitive patient data is stored and transmitted through various technological systems. The advancement of technology makes safeguarding healthcare systems from cyber threats more critical than ever. Cybercriminals target patient information, financial data, and medical records, resulting in severe consequences like reputational damage, loss of trust, financial losses, legal consequences, and potential harm to patients. Despite attempts to regulate healthcare cybersecurity, the rising number of cyberattacks remains an important challenge. To tackle this issue, the adoption of artificial intelligence (AI) and machine learning (ML) has shown promise. AI can detect and prevent real-time cyberattacks, providing an additional layer of security. ML algorithms can predict and thwart future attacks by analyzing cybercriminal behaviors and patterns. Additionally, secure communication channels are vital for healthcare systems to protect sensitive data. Encrypted communication methods, such as secure messaging systems and virtual private networks, significantly enhance healthcare system security. This book chapter provides an overview of the importance of cybersecurity in healthcare, exploring various cyber threats faced by healthcare systems, including malware attacks, ransomware attacks, and social engineering attacks. It also examines the impact of these threats on healthcare, such 370as patient privacy breaches, financial losses, and reputational damage. Furthermore, the chapter delves into the regulatory and legal requirements that healthcare organizations must adhere to in order to safeguard patient privacy and security. It outlines various cybersecurity measures that healthcare organizations can adopt, such as risk assessments, staff training, network segmentation, access controls, and incident response plans. Lastly, the chapter discusses emerging technologies like blockchain and AI, demonstrating their potential to enhance cybersecurity in healthcare systems.
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