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Security and Privacy in IoMT 2019 : Special Issue: Security and Privacy in Internet of Medical Things (IoMT)


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Submission Deadline Oct 25, 2019
Categories    security   wireless body area networks   internet of things   healthcare

Call For Papers

The Internet of Medical Things (IoMT) is an ecosystem of connected sensors, wearable devices, medical devices, and clinical systems. It enables various healthcare applications to reduce healthcare costs, provide timely medical responses, and increase the quality of medical treatment. Driven largely by advances in wireless communications, sensor networks, mobile devices, big data analysis, and cloud computing, IoMT is transforming the healthcare industry by delivering targeted and personalized medicine and by enabling seamless communication of medical data. While these increasingly ubiquitous medical devices offer several benefits, they also raise serious security and privacy concerns. Healthcare systems collect and process sensitive and often life-critical medical information and make critical decisions based on this information. Cybercriminals targeting the vulnerabilities in these IoMT devices can not only gain potential entry into the hospital network but also obtain unauthorized access to sensitive personal and healthcare information. Attacks on these connected devices can also cause significant physical harm and life-threatening damage to the patients.

The goal of this special issue is to highlight state-of-the-art security research in the field of IoMT. Contributions from both academia and industry describing novel security and privacy solutions that address the unique needs of healthcare systems are welcomed. Papers presenting lightweight security solutions for resource constrained medical devices are highly encouraged.

Potential topics include but are not limited to the following:
• Threats and attack models in IoMT
• Security risk analysis in IoMT
• Wearable and implantable medical device security
• Lightweight security solutions in IoMT
• Intrusion detection in IoMT
• Machine learning based security in IoMT
• Privacy-preserving technology in IoMT
• Blockchain for healthcare security in IoMT
• Authentication and access control in IoMT
Authors can submit their manuscripts through the Manuscript Tracking System at

Submission Deadline Friday, 25 Oct 2019
Publication Date March 2020
Papers are published upon acceptance, regardless of the Special Issue publication date.

Lead Guest Editor:
• Geethapriya Thamilarasu, University of Washington Bothell, Bothell, USA

Guest Editors:
• Kewei Sha, University of Houston-Clear Lake, Houston, USA
• Kuan Zhang, University of Nebraska-Lincoln, Omaha, USA
• Wenjia Li, New York Institute of Technology, New York City, USA

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