Szczegóły publikacji
Opis bibliograficzny
Cybersecurity optimization in supply chains under propagated cyberattacks / Tadeusz SAWIK // Computers & Security ; ISSN 0167-4048 . — 2026 — vol. 163 art. no. 104820, s. 1-10. — Bibliogr. s. 10, Abstr. — Publikacja dostępna online od: 2026-01-05. — Afiliacja: Indian Institute of Management Mumbai, Maharashtra, India
Autor
- Sawik Tadeusz
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 165361 |
|---|---|
| Data dodania do BaDAP | 2026-01-27 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.cose.2025.104820 |
| Rok publikacji | 2026 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Computers & Security |
Abstract
A novel mixed integer nonlinear programming model is developed for cybersecurity optimization in the supply chain exposed to combined direct and propagated cyberattacks. Given a limited budget for cybersecurity investments and a set of available security controls, the problem objective is to select for each node a subset of controls to minimize the breach probability of the most vulnerable attack path to a target node. Using a network transformation, Taylor series approximation of natural logarithm and applying duality theory, a nonlinear model is replaced by a mixed integer linear program. The results of computational experiments are provided, and approximated and exact solutions are compared. This study’s contribution and novelty lie in the explicit equalization of cybersecurity vulnerabilities in supply chains under combined cyberattacks, using the developed linearization techniques. The findings indicate that for the minimax objective function, cybersecurity vulnerabilities of all nodes can be significantly reduced and equalized and that the Taylor approximation of the nonlinear formula for the combined direct and propagated breach probability is very accurate. The proposed approach proves to be computationally efficient for cybersecurity optimization in large-scale multi-tier supply chain networks.
