Papers
2
Total Citations
7
H-Index
2
About
Said Daoudagh is a researcher whose work sits at the critical intersection of the Internet of Things (IoT) and cybersecurity, with a focused expertise in developing formal, ontology-based solutions for system monitoring. His primary research area involves creating structured, domain-specific frameworks to assess and secure the behavior of complex IoT ecosystems. Daoudagh’s major contribution is the conceptualization and development of DAEMON, a Domain-based Monitoring Ontology for IoT Systems. This technological reference solution is specifically designed to monitor and evaluate cybersecurity postures when new devices or components are introduced into an existing network. By formalizing domain knowledge into an ontology, his work provides a systematic method for detecting anomalous behavior and potential threats, moving beyond ad-hoc security measures. His most-cited paper, "An Ontology-Based Solution for Monitoring IoT Cybersecurity" (2022), has garnered 5 citations, establishing a foundational reference in the field. Through his rigorous, model-driven approach, Daoudagh is helping to build the semantic backbone necessary for trustworthy and resilient IoT environments, making his research essential for students and engineers tackling the security challenges of pervasive computing.
Research Focus
Key Achievements
Top Papers
- 1An Ontology-Based Solution for Monitoring IoT Cybersecurity5 citations · 2022
- 2DAEMON: A Domain-Based Monitoring Ontology for IoT Systems2 citations · 2023