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Ma Y, Gelenbe E, Liu K. 2024. IoT Performance for Maritime Passenger Evacuation. WF-IoT 2024. Publications

Ma Y, Gelenbe E, Liu K. 2024. IoT Performance for Maritime Passenger Evacuation. WF-IoT 2024.

Conference: WF-IoT 2024, 10-13. November 2024, Ottawa, Canada Authors: Ma Y, Gelenbe E, Liu K. Abstract: The safe and swift evacuation of passengers from Maritime Vessels, requires an effective Internet of Things (IoT) as well as an information and communication technology (ICT) infrastructure. However, during emergencies, delays in IoT and…
Automatic Vulnerability Categorization: Are Large Language Models (LLMs) the solution? Insights

Automatic Vulnerability Categorization: Are Large Language Models (LLMs) the solution?

By Miltiadis Siavvas,  Information Technologies Institute (ITI) of the Centre for Research and Technology-Hellas (CERTH) Problem Statement The early identification and mitigation of software vulnerabilities is critical for the development of secure software. To facilitate the vulnerability identification and mitigation process, several tools and techniques have been proposed over the…