Mahfooz Ahmad

Work place: Department of Computer Application, Integral University, Lucknow, India

E-mail: ahmadmahfooz1@gmail.com

Website:

Research Interests: Power System, Image Processing, Digital System Design

Biography

Mahfooz Ahmad received the B.Tech, degree in Electronics and Communication Engineering from AKT University, and the M.Tech degree in Electronic Circuits and Systems from Integral University. He is currently working as an Assistant Professor in the Department of Electronics and Communication Engineering at Integral University. His research areas include HDLC Controller Using VHDL, Digital Image Processing, Solar PV Maximum Power Tracking System AI, Soft computing. He has published 11 research papers in International and IEEE Conference Paper and 01 Patent paper.

Author Articles
Determination of Security Factors Affecting Internet of Medical Things by Artificial Intelligence Technique

By Mohd Nadeem Prabhash Chandra Pathak Mahfooz Ahmad Masood Ahmad

DOI: https://doi.org/10.5815/ijeme.2024.02.04, Pub. Date: 8 Apr. 2024

In the age of computing, there is a vast assortment of medical equipment and software available. Software and medical equipment that can be online connected to healthcare Information Technology (IT) systems are referred to as Internet of Medical Things (IoMT). This research study elaborates healthcare connectivity and its security issues to the different dimension of IoMT. During the pandemic situation in 2020-21 Covid, importance of virtualization and its dependencies have got the momentum. The security challenge of IoMT needs to be addressed. The research analysis is evaluating the impact of security factors in IoMT. By systematically evaluating research studies based on the keywords IoMT, security of IoMT, and security in healthcare sector, security attributes and factors were discovered from the different digital library. This evaluation uses soft computing and Artificial Intelligence (AI) techniques, quantitatively elaborates the factors of IoMT and their impact based on security. The results provide guidance for the development of IoMT with security attributes that can help to ensure the security of the device and software based applications on networks or in the cloud. To assess the importance of the criteria and the ranking of the alternatives, the AI technique of Analytic Hierarchy Process (AHP) and Technique for Order of Preferences by Similarity to Ideal Solution (TOPSIS) were applied. The hybrid Fuzzy AHP, Fuzzy TOPSIS techniques are utilizing the concept of decision making in security of IoMT. The items were evaluated using a multi rules choice investigation with several standards. In this research study, eight factors and ten alternatives of IoMT were selected to determine their impact on security. The creating new funding, operating and business model factor of IoMT got the top weight and successfully navigating regulatory change got the least. The AI research on IoMT security determination helps the developer, medical practitioner, and medical device operator to consider the impact of security in IoMT. 

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