Guest Editors
Dr. Jianhong Zhang, North China University of Technology, China
Dr. Zhengtao Jiang, Communication University of China, China
Summary
With the rapid development of telemedicine and artificial intelligence technologies, wearable devices equipped with various sensors are widely used to monitor and diagnose a variety of medical conditions to improve our quality of life. As a result, vast amounts of data are created via communication networks, stored in the cloud and analyzed by remote experts. The storage and processing of health data are highly crucial as these data contain sensitive data related to patients. The breach of even a single piece of data can lead to very fragile security threats and adversely affect the lives of patients. In order to protect the privacy of patients and healthcare practitioners, and to design security algorithms suitable for resource-constrained wearable devices, it is critically important that the security and privacy problems facing the next generation of remote healthcare are addressed through a holistic approach that involves the development of new security and privacy technologies.
This special issue is calls for novel and state-of-the-art solutions for effective applications in remote healthcare and proposes new efficient security solutions for wearable devices. For that, this issue seeks papers with a proposed secure and privacy solution that constructs remote healthcare system against the emerging security risks without significantly degrading system performance. The topics of the special issue include but not limited to the following:
· Privacy preserving methods;
· Cryptographic techniques in healthcare;
· Secure and trustworthy information sharing;
· Authentication and Access control mechanisms for healthcare;
· Fog and cloud computing for secure healthcare solutions;
· IoT assisted secure solutions for healthcare applications;
· Recent advances in cybersecurity for addressing security practices in Healthcare institutions
· Lightweight cryptographic primitives and protocols
· Security and privacy of internet of medical things (IoMT) applications
· Big data privacy-preserving models
· Cloud computing for secure and private big medical data
· Lightweight cryptography for secure medical devices
· Federated and machine learning techniques for IoMT security
Keywords
Access control; authentication in remote healthcare; Data privacy;lightweight cryptography; Cloud computing; Blockchain; Wearables
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