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singh amit kumar (curatore); elhoseny mohamed (curatore) - intelligent data security solutions for e-health applications

Intelligent Data Security Solutions for e-Health Applications

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Dettagli

Genere:Libro
Lingua: Inglese
Pubblicazione: 08/2020





Note Editore

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.



  • Investigates new security and privacy requirements related to eHealth technologies and large sets of applications
  • Reviews how the abundance of digital information on system behavior is now being captured, processed, and used to improve and strengthen security and privacy
  • Provides an overview of innovative security techniques which are being developed to ensure the guaranteed authenticity of transmitted, shared or stored data/information




Sommario

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





Autore

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 currently an assistant professor at the Faculty of Computers and Information, Mansoura University and a researcher at the CoVIS Lab, Department of Computer Science and Engineering, University of North Texas. Dr. Elhoseny is the Director of Distributed Sensing and Intelligent Systems Lab, Mansoura University, in Egypt, and has over 100 ISI journal articles, conference proceedings, book chapters, and six books published by Springer and Taylor & Francis. He serves as the Editor-in-Chief for International Journal of Smart Sensor Technologies and Applications, IGI Global, and is an associate editor of several journals such as IEEE Access, IEEE Future Directions, PLOS One, Remote Sensing, and International Journal of E-services and Mobile Applications, IGI Global. His research interests include Network Security, Cryptography, Machine Learning Techniques, Internet of Things, and Quantum Computing.










Altre Informazioni

ISBN:

9780128195116

Condizione: Nuovo
Collana: Intelligent Data-Centric Systems: Sensor Collected Intelligence
Dimensioni: 235 x 191 mm
Formato: Brossura
Pagine Arabe: 340


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