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Monthly Archives

September 2024

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…
Bergquist J, Gelenbe E, Sigman K. 2024. On an Adaptive-Quasi-Deterministic Transmission Policy Queueing Model. MASCOTS 2024 Publications

Bergquist J, Gelenbe E, Sigman K. 2024. On an Adaptive-Quasi-Deterministic Transmission Policy Queueing Model. MASCOTS 2024

Conference: MASCOTS 2024 Authors: Bergquist J, Gelenbe E, Sigman K. Abstract: We analyze, further and deeper, a recently proposed technique for addressing the Massive Access Problem (MAP), an issue in telecommunications which arises when too many devices transmit packets to a gateway in quick succession. This technique, the Adaptive-Quasi-Deterministic Transmission…
Gelenbe E, Nakip M, Siavvas M. 2024. System-Wide Vulnerability and Trust in Multi-Component Communication System Software. IEEE Network. 2024. Publications

Gelenbe E, Nakip M, Siavvas M. 2024. System-Wide Vulnerability and Trust in Multi-Component Communication System Software. IEEE Network. 2024.

Journal: IEEE Network. 2024. Authors: Gelenbe E, Nakip M, Siavvas M. Abstract: In the software rich environment of 6G, systems will be surrounded by edge devices that support distributed software systems which are critical to operations. Such systems may also be subject to frequent updates or uploads of individual software…