Secure Decision Approach for Internet of Healthcare Things Smart-System-Based Blockchain
A. A. Zaidan, Hassan A. Alsattar, Sarah Qahtan, Muhammet Deveci, Dragan Pamučar, Brij B. Gupta
Abstract
Modeling of Internet of Healthcare Things (IoHT) smart-system-based blockchain in terms of security and privacy requirements is considered a multicriteria decision-making (MCDM) problem. Even though literature reviews have evaluated IoHT smart-system-based blockchain, informational ambiguity, vagueness and uncertainty remain open issues. In addition, the early MCDM techniques used to model IoHT smart systems-based blockchain have substantial theoretical shortcomings. First, the tuning parameters used produce different modeling outcomes. Second, the use of optimization theory increases the complexity of the modeling and decreases the stability of the results when the alternative numbers increases. Third, distance measurement and binary decision matrix are incompatible. Fourth, the modeling method used cannot prioritize the evaluation criteria. Therefore, this article extends the fuzzy weighted with zero inconsistency (FWZIC) method with interval-valued spherical fuzzy sets (IvSFSs) for weighting security and privacy requirements. Then, the developed IvS-FWZIC method is integrated with the complex proportional assessment method to model IoHT smart-system-based blockchain. IoHT smart-system-based blockchains 15 and 11 are selected as alternatives under remote patient monitoring systems and telemedicine systems, respectively. These alternatives are evaluated by six security and privacy requirements (criteria). The stability and robustness of the proposed methods are assessed by conducting sensitivity analysis and Spearman’s rho and comparison analysis. Researchers and developers of IoHT smart-system-based blockchain can propose more secure, private solutions with the help of this work’s implications.