Ontology-based representation for emergency management response

Guerfel, Sameh; Ouerhani, Nourchene; Maalel, Ahmed

doi:10.1109/inista59065.2023.10310345

Cited by 1 publication

(1 citation statement)

References 21 publications

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“…Domain ontology is a very important part of our research work where we apply ontology engineering practices to develop the proposed ontology. However, note that there is not any particular or correct way to develop the ontology, and researchers apply different ways to develop the ontology [39][40][41][42]. We utilize the knowledge engineering methodology (KEM) outlined in Ontology Development 101 [37], along with the structured life cycle proposed by Gómez-Pérez et al [43].…”

Section: A Proposed Methodology For Ontology Developmentmentioning

confidence: 99%

Developing a Novel Ontology for Cybersecurity in Internet of Medical Things-Enabled Remote Patient Monitoring

Bughio,

Cook,

Shah

2024

Sensors

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IoT has seen remarkable growth, particularly in healthcare, leading to the rise of IoMT. IoMT integrates medical devices for real-time data analysis and transmission but faces challenges in data security and interoperability. This research identifies a significant gap in the existing literature regarding a comprehensive ontology for vulnerabilities in medical IoT devices. This paper proposes a fundamental domain ontology named MIoT (Medical Internet of Things) ontology, focusing on cybersecurity in IoMT (Internet of Medical Things), particularly in remote patient monitoring settings. This research will refer to similar-looking acronyms, IoMT and MIoT ontology. It is important to distinguish between the two. IoMT is a collection of various medical devices and their applications within the research domain. On the other hand, MIoT ontology refers to the proposed ontology that defines various concepts, roles, and individuals. MIoT ontology utilizes the knowledge engineering methodology outlined in Ontology Development 101, along with the structured life cycle, and establishes semantic interoperability among medical devices to secure IoMT assets from vulnerabilities and cyberattacks. By defining key concepts and relationships, it becomes easier to understand and analyze the complex network of information within the IoMT. The MIoT ontology captures essential key terms and security-related entities for future extensions. A conceptual model is derived from the MIoT ontology and validated through a case study. Furthermore, this paper outlines a roadmap for future research, highlighting potential impacts on security automation in healthcare applications.

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