Challenges in cybersecurity: Lessons from biological defense systems.
Complex systems
Cybersecurity
Defense
Immunology
Journal
Mathematical biosciences
ISSN: 1879-3134
Titre abrégé: Math Biosci
Pays: United States
ID NLM: 0103146
Informations de publication
Date de publication:
08 2023
08 2023
Historique:
received:
24
01
2023
revised:
27
04
2023
accepted:
20
05
2023
medline:
28
7
2023
pubmed:
4
6
2023
entrez:
3
6
2023
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 37270102
pii: S0025-5564(23)00065-2
doi: 10.1016/j.mbs.2023.109024
pii:
doi:
Types de publication
Journal Article
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
109024Informations de copyright
Copyright © 2023 Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest None.