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Challenges in cybersecurity: Lessons from biological defense systems

Title: Challenges in cybersecurity: Lessons from biological defense systems
Authors: Schrom, Edward; Kinzig, Ann; Forrest, Stephanie; Graham, Andrea L; Levin, Simon A; Bergstrom, Carl T; Castillo-Chavez, Carlos; Collins, James P; de Boer, Rob J; Doupé, Adam; Ensafi, Roya; Feldman, Stuart; Grenfell, Bryan T; Halderman, J Alex; Huijben, Silvie; Maley, Carlo; Moses, Melanie; Perelson, Alan S; Perrings, Charles; Plotkin, Joshua; Rexford, Jennifer; Tiwari, Mohit; Sub Theoretical Biology; Theoretical Biology and Bioinformatics
Publication Year: 2023
Subject Terms: Complex systems; Cybersecurity; Defense; Immunology; Taverne; General Agricultural and Biological Sciences; Applied Mathematics; General Biochemistry,Genetics and Molecular Biology; General Immunology and Microbiology; Statistics and Probability; Modelling and Simulation
Description: Defending against novel, repeated, or unpredictable attacks, while avoiding attacks on the 'self', are the central problems of both mammalian immune systems and computer systems. Both systems have been studied in great detail, but with little exchange of information across the different disciplines. Here, we present a conceptual framework for structured comparisons across the fields of biological immunity and cybersecurity, by framing the context of defense, considering different (combinations of) defensive strategies, and evaluating defensive performance. Throughout this paper, we pose open questions for further exploration. We hope to spark the interdisciplinary discovery of general principles of optimal defense, which can be understood and applied in biological immunity, cybersecurity, and other defensive realms.
Document Type: article in journal/newspaper
File Description: text/plain
Language: English
ISSN: 0025-5564
Relation: https://dspace.library.uu.nl/handle/1874/434635
Availability: https://dspace.library.uu.nl/handle/1874/434635
Rights: info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.AE415A1B
Database: BASE