Validation of a Methodology for Formalizing Knowledge on Security in IoMT Applications

Area of Science:

• Cybersecurity
• Knowledge Engineering
• Medical Informatics

Background:

• The Internet of Medical Things (IoMT) presents unique security challenges due to sensitive data and critical infrastructure.
• Formalizing security knowledge is crucial for developing robust and compliant IoMT systems.

Purpose of the Study:

• To define a methodology for security knowledge formalization specifically for IoMT applications.
• To develop tools for creating ontologies representing IoMT security standards, specifications, and laws.

Main Methods:

• Development of a novel methodology for security knowledge formalization.
• Creation of ontology-building tools.
• Application and validation of the methodology on Web Application specifications.

Main Results:

• A defined methodology for formalizing security knowledge in IoMT.
• An ontology creation framework representing relevant standards and regulations.
• Demonstrated relevance through application to Web Application security.

Conclusions:

• The proposed methodology provides a structured approach to IoMT security knowledge formalization.
• Ontology-based representation enhances the understanding and application of security requirements.
• The approach is adaptable and validated for practical use in related domains like Web Applications.