Modeling security evaluation framework for IoHT-driven systems using integrated decision-making methodology.

Area of Science:

• Cybersecurity
• Health Informatics
• Decision Science

Background:

• Internet of Health Things (IoHT) devices present significant security challenges due to device limitations and sensitive healthcare data.
• Existing authentication schemes, protocols, and standards for IoHT are numerous and complex, complicating secure solution selection.
• Lack of clear understanding and evaluation criteria hinders effective decision-making for IoHT authentication.

Purpose of the Study:

• To propose an IoHT-based assessment framework for evaluating and prioritizing authentication schemes in the healthcare domain.
• To provide a structured approach for selecting secure authentication solutions for IoHT systems.
• To assist healthcare security experts and stakeholders in making informed decisions regarding IoHT authentication.

Main Methods:

• Literature review and expert consultations to identify IoHT authentication security issues.
• Delphi approach with an Internet of Things security expert to gather authentication scheme features.
• Application of Graph Theory and Matrix approach for evaluating authentication alternatives.
• Validation of the framework using multi-criteria decision-making methods.

Main Results:

• The proposed framework demonstrated high performance with 93% precision, 94% accuracy, and 95% recall.
• The evaluation framework effectively prioritizes authentication schemes based on defined criteria.
• Results show consistency and accuracy when compared with existing approaches.

Conclusions:

• The developed IoHT-based assessment framework offers a reliable method for evaluating and prioritizing authentication schemes.
• This framework serves as a valuable guideline for healthcare stakeholders in addressing IoHT security challenges.
• The study contributes to enhancing the security and trustworthiness of IoHT systems in healthcare.