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Computer Science > Cryptography and Security

arXiv:2112.05548 (cs)
[Submitted on 10 Dec 2021]

Title:TechRank: A Network-Centrality Approach for Informed Cybersecurity-Investment

Authors:Anita Mezzetti, Dimitri Percia David, Thomas Maillart, Michael Tsesmelis, Alain Mermoud
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Abstract:The cybersecurity technological landscape is a complex ecosystem in which entities -- such as companies and technologies -- influence each other in a non-trivial manner. Measuring the influence between entities is a tenet for informed technological investments in critical infrastructure. To study the mutual influence of companies and technologies from the cybersecurity field, we consider a bi-partite graph that links both sets of entities. Each node in this graph is weighted by applying a recursive algorithm based on the method of reflection. This endeavor helps to measure the impact of an entity on the cybersecurity market. Our results help researchers measure more precisely the magnitude of influence of each entity, and allows decision-makers to devise more informed investment strategies, according to their portfolio preferences. Finally, a research agenda is suggested, with the aim of allowing tailor-made investments by arbitrarily calibrating specific features of both types of entities.
Comments: 7 pages, 2 figures
Subjects: Cryptography and Security (cs.CR); Computers and Society (cs.CY)
Cite as: arXiv:2112.05548 [cs.CR]
  (or arXiv:2112.05548v1 [cs.CR] for this version)
  https://doi.org/10.48550/arXiv.2112.05548

Submission history

From: Alain Mermoud [view email]
[v1] Fri, 10 Dec 2021 14:01:49 UTC (7,772 KB)
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