Intelligent Data Security Solutions for e-Health Applications

Erscheinungsjahr 2020
ISBN: 978-0-12-819511-6
Verlag: Elsevier Science Publishing Co Inc

Buch, Englisch, 340 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 700 g

Reihe: Intelligent Data-Centric Systems: Sensor Collected Intelligence

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.

Zielgruppe

<p>Researchers, professionals, and graduate students in computer science & engineering, bioinformatics, and electrical engineering </p>

Autoren/Hrsg.

Singh, Amit Kumar

Elhoseny, Mohamed

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik

Inhaltsverzeichnis

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

Über Autor(innen)

Elhoseny, Mohamed
Dr. Mohamed Elhoseny is an Associate Professor at the University of Sharjah, UAE. Dr. Elhoseny is an ACM Distinguished Speaker and IEEE Senior Member. His research interests include Smart Cities, Network Security, Artificial Intelligence, Internet of Things, and Intelligent Systems. Dr. Elhoseny is the founder and the Editor-in-Chief of the IJSSTA journal published by IGI Global, as well as Associate Editor at several Q1 journals such as IEEE Access, Scientific Reports, IEEE Future Directions, Remote Sensing, International Journal of E-services and Mobile Applications and Human-centric Computing and Information Sciences. He has also served as the co-chair, publication chair, program chair, and a track chair for several international conferences published by recognized publishers. Dr. Elhoseny is Editor-in-Chief of two book series, on Sensor Communication for Urban Intelligence and Distributed Sensing and Intelligent Systems.

Singh, Amit Kumar
Amit Kumar Singh is an associate professor at the Department of Computer Science and Engineering, National Institute of Technology Patna, Bihar, India. Dr. Singh have been recognized as "World Ranking of Top 2% Scientists" in the area of "Biomedical Research" (for Year 2019) and "Artificial Intelligence & Image Processing" (for the Year 2020 and 2021) according to the survey given by Stanford University, USA. Currently, Dr. Singh is the Associate Editor of IEEE Trans. on Multimedia, ACM Trans. Multimedia Comput. Commun. Appl., IEEE Trans. Computat. Social Syst., IEEE Trans. Ind. Informat., IEEE J. Biomed. Heal. Informatics Etc. His research interests include multimedia data hiding, image processing, compression, biometrics, Cryptography.