Analyzing Healthcare Device Security through Fuzzy Rule-based Multi-criteria Model

Abstract

Managing risk as well as safeguarding electronic health records can be difficult for small medical practises. As a result of their vulnerability to various attacks, Internet of Health Things (IoHT)-based devices require appropriate security. In this paper, fuzzy TOPSIS is used to assess the security characteristics of IoHT-based devices in a medical setting. This technique utilizes a security evaluation of alternative solutions depending on security factors. The results of the presented security evaluation approach demonstrate that the most trustworthy as well as safe alternative among several of the alternative solutions is chosen for the IoHT model. This strategy could be used as a model for future IoHT structures or even other IoT-based domains. To the authors' knowledge, it is an unique strategy to IoT security evaluation, as well as such MCDM method have not been utilised before for evaluation as well as decision -making process in IoHT security systems.

Selection of an Efficient Classification Algorithm for Ambient Assisted Living: Supportive Care for Elderly People

“…The top option is chosen using the closeness coefficient that may be thought of as a reinforced categorization index that indicates which alternative is to the ideal solution [32]. As previously stated, the input data that make up the decision matrix in the traditional TOPSIS strategy must be quantitative in nature and well-described [33].…”