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He has published more than 150 peer-reviewed articles at various high-quality research venues including publications at top international research journals including IEEE Communication Magazine, IEEE Journal on Selected Areas in Communication (JSAC), IEEE Communications Surveys and Tutorials (CST), and IEEE Transactions on Mobile Computing (TMC). His primary research interests are in the areas of computer systems and networking, applied machine learning, using ICT for development (ICT4D) human-beneficial artificial intelligence ethics of technology, artificial intelligence, and data science and engineering education. Junaid Qadir is a Professor at the Qatar University in Doha, Qatar, and the Information Technology University (ITU) of Punjab in Lahore, Pakistan. He has been awarded a number of national and international awards such the Best Researcher Award of the year 2011 by NUST, PSF/COMSTECH best researcher of the year 2005 and Star Laureate award 2004. He has more than 100 international publications including a book on security in sensors. He initiated SAGE (Scalable fault tolerant Agent Grooming Environment) project and proposed the concept of decentralized multi agent systems SAGE back in 2002. He contributed in agent cites project, a European funded research and development project for agent systems. He is the pioneer for Semantic Web Application Firewall (SWAF) in cooperation with DTS Inc Japan in 2010. He has research interest in semantics systems, machine learning, Quantum Computing, health informatics and web application security. in Distributed Computing from Tokyo Institute of Technology, Tokyo, Japan. Hafiz Farooq Ahmad is an Associate Professor at the College of Computer Sciences and Information Technology (CCSIT), King Faisal University, Al Ahsa, Saudi Arabia. Finally, we provide a comprehensive list of current challenges and future research directions that must be considered while developing sustainable security solutions for the IoMT infrastructure. We also outline the security and privacy requirements for the development of novel security solutions for all the attack types against IoMT. We provide a comprehensive attack taxonomy on the overall IoMT infrastructure comprising different device variants as well as elaborate taxonomies of security protocols to mitigate attacks against different devices, algorithms and describe their strengths and weaknesses. In this paper, we classify security and privacy challenges against different IoMT variants based on their actual usage in the healthcare domain. During the past few years, threat vectors against IoMT have been evolved in terms of scalability, complexity, and diversity, which makes it challenging to detect and provide stringent defense solutions against these attacks.
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These vulnerabilities are not only disastrous for IoMT but threaten the whole healthcare ecosystem, which can in turn bring human lives in danger.
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Although IoMT is involved in large-scale services provisioning in the medical paradigm however, the resource-constrained nature of these devices makes them vulnerable to immense security and privacy issues.
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It enables the development of smart hardware as well as software platforms that operate on the basis of communication systems and the algorithms that process the data collected by the sensors to support decision-making. Internet of Medical Things (IoMT) supports traditional healthcare systems by providing enhanced scalability, efficiency, reliability, and accuracy of healthcare services.
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