Isbn: 9781032746012 - secure health: a guide to cybersecurity for healthcare managers (advances in cybersecurity management) (5 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Brand New. 244 pages. 6.14x0.55x9.21 inches. In Stock.

Zustand: New. Mohamed Hammad received his Ph.D. degree in 2019 from the School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China. He is an assistant professor in the Faculty of Computers and Information, Menoufia University, Egyp.

Taschenbuch. Zustand: Neu. Neuware - In today's interconnected world, healthcare systems are increasingly turning to digital technologies to enhance patient care and optimize operations. However, this digital transformation presents significant challenges in guaranteeing the security and privacy of sensitive healthcare data. Secure Health: A Guide to Cybersecurity for Healthcare Managers confronts these challenges head-on, offering a comprehensive exploration of the latest advancements and best practices in securing digital health systems.From examining the convergence of Internet of Things (IoT) applications with healthcare privacy and security to investigating ethical hacking frameworks and biometric access management, each chapter delves into valuable insights for safeguarding healthcare data in an ever-more digitized landscape. What sets this book apart is its holistic perspective, encompassing not only technical aspects but also governance standards, the unique cybersecurity challenges of telehealth, and the optimization of healthcare supply chain management.KEY FEATURES: - Explores the integration of IoT devices into healthcare and the associated privacy and security risks - Examines security frameworks and best practices for e-health information governance - Introduces a novel framework for ethical hacking in digital health - Analyzes the effectiveness of different artificial intelligence (AI) models for botnet traffic classification - Delves into the unique challenges of securing telehealth and remote monitoring systems - Offers practical guidance on securing the future of e-health through smart sensor network management.…