Intelligent Data Security Solutions for e-Health Applications
Amit Kumar Singh (Redaktør) ; Mohamed Elhoseny (Redaktør)
E-health applications such as tele-medicine, tele-radiology, tele-ophthalmology, and tele-diagnosis are very promising and
have immense potential to improve global healthcare. They can improve access, equity, and quality through the connection of healthcare facilities and healthcare professionals, diminishing geographical
and physical barriers. Les mer
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Paperback
Legg i
Vår pris:
1686,-
(Paperback)
Fri frakt!
Leveringstid: Sendes innen 21 dager
E-health applications such as tele-medicine, tele-radiology, tele-ophthalmology, and tele-diagnosis are very promising and
have immense potential to improve global healthcare. They can improve access, equity, and quality through the connection of
healthcare facilities and healthcare professionals, diminishing geographical and physical barriers. One critical issue, however,
is related to the security of data transmission and access to the technologies of medical information. Currently, medical-related
identity theft costs billions of dollars each year and altered medical information can put a person's health at risk through
misdiagnosis, delayed treatment or incorrect prescriptions. Yet, the use of hand-held devices for storing, accessing, and
transmitting medical information is outpacing the privacy and security protections on those devices. Researchers are starting
to develop some imperceptible marks to ensure the tamper-proofing, cost effective, and guaranteed originality of the medical
records. However, the robustness, security and efficient image archiving and retrieval of medical data information against
these cyberattacks is a challenging area for researchers in the field of e-health applications.
Intelligent Data Security Solutions for e-Health Applications focuses on cutting-edge academic and industry-related research in this field, with particular emphasis on interdisciplinary approaches and novel techniques to provide security solutions for smart applications. The book provides an overview of cutting-edge security techniques and ideas to help graduate students, researchers, as well as IT professionals who want to understand the opportunities and challenges of using emerging techniques and algorithms for designing and developing more secure systems and methods for e-health applications.
Intelligent Data Security Solutions for e-Health Applications focuses on cutting-edge academic and industry-related research in this field, with particular emphasis on interdisciplinary approaches and novel techniques to provide security solutions for smart applications. The book provides an overview of cutting-edge security techniques and ideas to help graduate students, researchers, as well as IT professionals who want to understand the opportunities and challenges of using emerging techniques and algorithms for designing and developing more secure systems and methods for e-health applications.
1. A Robust and Secure Perceptual Hashing System for Medical Images 2. Frequency Domain based Data Hiding for Encrypted Medical
Images 3. An OpenSim Guided Tour in Machine Learning for E-health Applications 4. Advances and Challenges in fMRI and DTI
Techniques 5. Homomorphic Transform Based Dual Image Watermarking Using IWT-SVD for Secure e-Health Care Applications 6. Access
Control Mechanisms for Electronic Healthcare Records in Cloud Environment 7. Security and Interference Management in the Cognitive
Inspired Internet-of-Medical Things 8. Access Control and Classifier Based Blockchain Technology in E-Healthcare Applications
9. Machine Learning Algorithms for Medical Image Security 10. Genetic Algorithm based Intelligent Watermarking for Security
of Medical Images in Telemedicine Applications 11. Data security for WBAN in E-Health IoT Applications 12. Cloud Based Intelligence
Diagnostic Solution for E- Health 13. Progressive Advancements on Security Challenges, Issues and Solutions in eHealth Systems
14. De-speckling of Ultrasound image based on multiresolution approach and Gaussianization transform 15. Wireless Medical
Sensor Networks for Smart e-Health Care 16. A Secure Lightweight Mutual-Authentication and Key-Agreement Protocol for Healthcare
System
Dr. Amit Kumar Singh is Assistant Professor in the Department of Computer Science & Engineering, National Institute of Technology
Patna, Bihar, India. Dr. Singh was Assistant Professor in the Department of Computer Science & Engineering, Jaypee University
of IT Waknaghat, Solan, Himachal Pradesh-India from January 2011 to July 2018. He obtained his Ph.D. in computer science and
engineering from NIT Kurukshatra, Haryana, India, and his master's degree in computer science and engineering, Jaypee University
of IT Waknaghat, Solan, Himachal Pradesh, India. He is an author of more than 80 peer-reviewed journal, conference publications
and book chapters. He has authored a book on "Medical Image Watermarking: Techniques and Applications" in 2017 and "Animal
Biometrics: Techniques and Applications" in 2018 published by Springer International Publishing. He has also edited the Proceedings
of the Fourth IEEE International Conference on Parallel, Distributed and Grid Computing in 2016 and Fourth International Conference
on Image Information Processing in 2017. He currently serves on the editorial board of two peer-reviewed international journals
including IEEE ACCESS, Multimedia Tools and Applications (Springer). Dr. Singh's research interests include Data Hiding, Biometrics
& Cryptography. Dr. Mohamed Elhoseny is an Assistant Professor at the Department of Computer Science, College of Computer
& Information Technology, American University in the Emirates (AUE). Dr. Elhoseny is an ACM Distinguished Speaker and IEEE
Senior Member. He received his Ph.D. in Computers and Information from Mansoura University/University of North Texas through
a joint scientific program. Dr. Elhoseny is the founder and the Editor-in-Chief of IJSSTA journal published by IGI Global.
Also, he is an Associate Editor at IEEE Journal of Biomedical and Health Informatics, IEEE Access, Scientific Reports, IEEE
Future Directions, Remote Sensing, and International Journal of E-services and Mobile Applications. Moreover, he served as
the co-chair, the publication chair, the program chair, and a track chair for several international conferences published
by recognized publishers such as IEEE and Springer. Dr. Elhoseny is the Editor-in-Chief of the Studies in Distributed Intelligence
Springer Book Series, the Editor-in-Chief of The Sensors Communication for Urban Intelligence CRC Press-Taylor& Francis Book
Series, and the Editor-in-Chief of The Distributed Sensing and Intelligent Systems CRC Press-Taylor& Francis Book Series.