Impacts of Uncontrolled Cyberattacks on Ukraine’s Cyber Resilience in Wartime
| Author | Affiliation | |
|---|---|---|
Davydiuk, Andrii | Pukhov Institute for Modelling in Energy Engineering | UA |
Kulyk, Sergii | Pukhov Institute for Modelling in Energy Engineering | UA |
Mishyna, Natalia | Pukhov Institute for Modelling in Energy Engineering | UA |
Zubok, Vitalii | Pukhov Institute for Modelling in Energy Engineering | UA |
| Date | Volume |
|---|---|
2026 | 1 |
This paper explores Ukraine’s cyber resilience strategies during the full-scale Russian invasion, focusing on the distinction between controlled and uncontrolled cyberattacks and their cascading impacts on critical infrastructure. Uncontrolled cyberattacks, by nature unpredictable, can generate systemic risks extending far beyond the attacker’s initial intent. The study highlights key developments in Ukraine’s cyber defense, including mobile infrastructure, digital backups, and coordinated multi-level responses. The originality of this work lies in introducing a structured approach for differentiating controlled from uncontrolled attacks and in presenting Ukraine’s wartime experience as an empirical contribution to resilience studies. The analysis demonstrates how Ukraine modernized outdated systems, strengthened public-private partnerships, and advanced international cooperation to enhance its cyber defense. At the same time, it identifies critical gaps: the absence of wartime-specific legal frameworks, limited AI integration, and resource constraints. The study concludes with three core findings: uncontrolled cyberattacks amplify risks beyond intended targets, resilience depends on adaptive governance and cross-sector collaboration, and international partnerships provide measurable benefits for sustaining national cyber stability. Our contributions are a taxonomy of controlled vs. uncontrolled cyberattacks (grounded in NIST terminology and wartime case evidence), a synthesis of Ukraine’s wartime cases; policy lessons for cyber resilience.
| Journal | Cite Score | SNIP | SJR | Year | Quartile |
|---|---|---|---|---|---|
Lecture Notes in Electrical Engineering | 0.7 | 0.128 | 0.143 | 2024 | Q4 |