Intelligent Data Security Solutions for e-Health Applications (Intelligent Data-Centric Systems: Sensor Collected Intelligence)
Part of: Intelligent Data-Centric Systems: Sensor Collected Intelligence (18 Books) | by: Amit Kumar Singh and Mohamed Elhoseny
Print Length 页数: 340 pages
ISBN-10: 0128195118
ISBN-13: 9780128195116
Publisher finelybook 出版社: Academic Press; (September 9,2020)
Language 语言: English
Book Description
By finelybook
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
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