Securing Next-Generation Connected Healthcare Systems
Artificial Intelligence Technologies
- 1st Edition - May 14, 2024
- Imprint: Academic Press
- Editors: Deepak Gupta, Aboul Ella Hassanien
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 3 9 5 1 - 2
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 3 9 5 2 - 9
Securing Next-Generation Connected Healthcare Systems: Artificial Intelligence Technologies focuses on the crucial aspects of IoT security in a connected environment, which will n… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quoteSecuring Next-Generation Connected Healthcare Systems: Artificial Intelligence Technologies focuses on the crucial aspects of IoT security in a connected environment, which will not only benefit from cutting-edge methodological approaches but also assist in the rapid scalability and improvement of these systems. This book shows how to utilize technologies like blockchain and its integration with IoT for communication, data security, and trust management. It introduces the security aspect of next generation technologies for healthcare, covering a wide range of security and computing methodologies.
Researchers, data scientists, students, and professionals interested in the application of artificial intelligence in healthcare management, data security of connected healthcare systems and related fields, specifically on data intensive secured systems and computing environments, will finds this to be a welcomed resource.
Researchers, data scientists, students, and professionals interested in the application of artificial intelligence in healthcare management, data security of connected healthcare systems and related fields, specifically on data intensive secured systems and computing environments, will finds this to be a welcomed resource.
- Covers the latest next generation connected healthcare technologies using parallel computing
- Presents all the security aspects in next-generation technologies for healthcare
- Utilizes technologies such as blockchain and its integration with IoT for communication, data security, and trust management
- Discusses privacy and security issues and challenges in data intensive cloud computing environment
- Dives into the concept of parallel and distributed computing technologies and their applications in the real world
Undergraduate and graduate levels, researchers, data scientists, and professionals interested in the application of artificial intelligence in healthcare management, data security of connected healthcare systems and related fields, specifically on data intensive secured systems and computing environments, IoT for communication, data security, and trust management
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- Chapter 1. Authentication protocols for securing IoMT: current state and technological advancements
- Abstract
- 1.1 Introduction
- 1.2 Authentication in Internet of Medical Things
- 1.3 Authentication protocols and schemes for Internet of Medical Things
- 1.4 Technological advancements for authentication in Internet of Medical Things
- 1.5 Conclusion
- References
- Chapter 2. Optimal machine learning–based data classification on Internet of medical things environment
- Abstract
- 2.1 Introduction
- 2.2 Related works
- 2.3 The proposed model
- 2.4 Experimental validation
- 2.5 Conclusion
- Conflicts of interest
- References
- Chapter 3. Artificial intelligence–based security attack detection for healthcare cyber-physical system: lightweight deep stochastic learning
- Abstract
- 3.1 Introduction
- 3.2 Related works
- 3.3 System model
- 3.4 Performance analysis
- 3.5 Conclusion
- References
- Chapter 4. Preparedness and impact of cyber secure system in clinical domain
- Abstract
- 4.1 Introduction
- 4.2 Quality Function Deployment and background study
- 4.3 Security measures
- 4.4 Cybersecurity wellness
- 4.5 Response strategies
- 4.6 Safety considerations
- 4.7 Facility security considerations and recovery
- 4.8 Development of specified cybersecurity within healthcare organizations
- 4.9 Conclusion
- References
- Chapter 5. Enhanced Galactic Swarm Algorithm with Encryption Technique for Medical Image Security in Internet of Things environment
- Abstract
- 5.1 Introduction
- 5.2 Related works
- 5.3 The proposed model
- 5.4 Experimental validation
- 5.5 Conclusion
- Conflict of interest
- Data availability statement
- Ethics approval
- Consent to participate
- Informed consent
- References
- Chapter 6. An efficient heart disease prediction model using particle swarm–optimized ensemble classifier model
- Abstract
- 6.1 Introduction
- 6.2 Literature review
- 6.3 System model of smart healthcare
- 6.4 Ensemble classifier model for disease prediction
- 6.5 Particle swarm optimization
- 6.6 Result
- 6.7 Conclusion
- References
- Chapter 7. A thorough analysis on mitigating the risk of gastric cancer using proper nutrition
- Abstract
- 7.1 Introduction
- 7.2 Research contributions
- 7.3 Literature review
- 7.4 Discussion and findings
- 7.5 Recommendations for practice future development and challenges
- 7.6 Conclusion
- References
- Chapter 8. Application of blockchain and fog computing in healthcare services
- Abstract
- 8.1 Introduction
- 8.2 Role of blockchain and fog computing in healthcare
- 8.3 The proposed approach for healthcare security
- 8.4 Existing models for securing healthcare
- 8.5 Discussion and analysis
- 8.6 Challenges in adopting blockchain technology in healthcare
- 8.7 Future scope and issues
- 8.8 Conclusion
- References
- Chapter 9. Forensics in the Internet of Medical Things
- Abstract
- 9.1 Introduction
- 9.2 Overview of forensics in Internet of Medical Things
- 9.3 Types of digital evidence in Internet of Medical Things
- 9.4 Forensic investigation process in Internet of Medical Things
- 9.5 Forensic techniques and tools for Internet of Medical Things
- 9.6 Future directions and research challenges
- 9.7 Conclusion
- References
- Chapter 10. Artificial intelligence driven cybersecurity in digital healthcare frameworks
- Abstract
- 10.1 Introduction
- 10.2 Machine intelligence and cybersecurity in healthcare
- 10.3 Literature review and background works
- 10.4 Challenging issues of cybersecurity in healthcare
- 10.5 An artificial intelligence–based cyber attack detection system in e-health
- 10.6 Conclusion
- References
- Index
- Edition: 1
- Published: May 14, 2024
- No. of pages (Paperback): 252
- No. of pages (eBook): 300
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780443139512
- eBook ISBN: 9780443139529
DG
Deepak Gupta
Dr. Aditya Khamparia has expertise in teaching, entrepreneurship, and research and development of 11 years. He is presently working as Assistant Professor in Babasaheb Bhimrao Ambedkar University, Satellite Centre, Amethi, India. He received his Ph.D. degree from Lovely Professional University, Punjab, India in May 2018. He has completed his M. Tech. from VIT University, Vellore, Tamil Nadu, India and B. Tech. from RGPV, Bhopal, Madhya Pradesh, India. He has completed his PDF from UNIFOR, Brazil. He has published around 105 research papers along with book chapters including more than 25 papers in SCI indexed Journals with cumulative impact factor of above 100 to his credit. Additionally, he has authored and edited eleven books. Furthermore, he has served the research field as a Keynote Speaker/Session Chair/Reviewer/TPC member/Guest Editor and many more positions in various conferences and journals. His research interest include machine learning, deep learning for biomedical health informatics, educational technologies, and computer vision.
Affiliations and expertise
Assistant Professor, Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Delhi, IndiaAH
Aboul Ella Hassanien
Dr Aboul Ella Hassanein is the Founder and Head of the Egyptian Scientific Research Group (SRGE), Cairo Univesrity, and a Professor of Information Technology at the Faculty of Computer and Information, Cairo University. Professor Hassanien is ex-dean of the faculty of computers and information, Beni Suef University. Professor Hassanien has more than 800 scientific research papers published in prestigious international journals and over 40 books covering such diverse topics as data mining, medical images, intelligent systems, social networks and smart environment.
Affiliations and expertise
Professor of Information Technology, Faculty of Computer and Information, Cairo University, Cairo, EgyptRead Securing Next-Generation Connected Healthcare Systems on ScienceDirect