by André Charneca, Angelika Romanou, Ljiljana Dolamic, Alain Mermoud | Dec 22, 2023 | Podcasts
Abstract This study investigates the effectiveness of two distinct computational approaches for mapping the technological landscape by extracting company and product relations from news articles. The first approach leverages Large Language Models (LLMs), specifically...
by Anita Mezzetti, Loïc Maréchal, Dimitri Percia David, Thomas Maillart, Alain Mermoud | Dec 21, 2023 | Podcasts, Publications, Scientific Articles
Abstract: This article introduces TechRank, a recursive algorithm based on a bipartite graph with weighted nodes that the authors developed to link companies and technologies based on the reflection method. They allow the algorithm to incorporate exogenous variables...
by Sébastien Gillard, Dimitri Percia David, Alain Mermoud, Thomas Maillart | Nov 7, 2023 | Publications, Scientific Articles
Abstract The latency reduction between the discovery of vulnerabilities, the build-up, and the dissemination of cyberattacks has put significant pressure on cybersecurity professionals. For that, security researchers have increasingly resorted to collective action in...
by Santiago Anton Moreno, Dimitri Percia David, Alain Mermoud, Thomas Maillart, Anita Mezzetti | Sep 20, 2023 | Publications, Scientific Articles
Abstract Job offers reveal employer preferences about capabilities required for future cyberdefense. We model such job openings as edges of a bipartite network of organizations and technologies. We propose and train a parsimonious prediction algorithm with extant job...
by Cédric Aeschlimann, Kilian Cuche, Alain Mermoud | Sep 20, 2023 | Publications, Scientific Articles
Abstract The growing need for cyberdefense capabilities and the lack of specialists leave many organizations vulnerable to attacks. This chapter offers a comprehensive analysis of the cyberdefense capabilities of Swiss organizations active in cyberdefense. We also...
by Michael Tsesmelis, Ljiljana Dolamic, Marcus Matthias Keupp, Dimitri Percia David, Alain Mermoud | Sep 20, 2023 | Publications, Scientific Articles
Abstract The need for dependable and real-time insights on technological paradigm shifts requires objective information. We develop a lean recommender system which predicts emerging technology by a sequential blend of machine learning and network analytics. We...
