| Naslov: | Strategic commitments shape collective cybersecurity under AI inequality |
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| Avtorji: | ID Bashir, Adeela (Avtor)
ID Shamszaman, Zia Ush (Avtor)
ID Song, Zhao (Avtor)
ID Perc, Matjaž (Avtor)
ID Han, The Anh (Avtor) |
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| Datoteke: |  RAZ_Bashir_Adeela_2026.pdf (2,83 MB)
MD5: 6A03B31038672458C1381D3AFA7F5BA5
 https://doi.org/10.1016/j.chaos.2026.118728
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| Jezik: | Angleški jezik |
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| Vrsta gradiva: | Znanstveno delo |
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| Tipologija: | 1.01 - Izvirni znanstveni članek |
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| Organizacija: | FNM - Fakulteta za naravoslovje in matematiko
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| Opis: | The growing integration of AI into cybersecurity is reshaping the balance between attackers and defenders. When access to advanced AI-enabled defence tools is uneven, resource-limited defenders may be unable to adopt effective protection, creating persistent system vulnerabilities. We study the impact of differential AI access using an evolutionary game-theoretic model in a finite population. We first show that when high-capability defence is costly, the population is driven toward low-cost, weak-defence behaviour, sustaining attacks and weakening long-run security. To address this problem, we introduce differential access to AI defence tools by allowing defenders to choose between low- and high-capability protection based on their resources. We then examine the role of a small group of committed defenders who always adopt strong defence and influence others through social learning. Although commitment increases the prevalence of strong defence, it alone cannot stabilise secure outcomes due to high defence costs. We therefore incorporate a targeted subsidy to remove the cost disadvantage from committed defenders. Our analysis shows that subsidised commitment significantly increases strong defence adoption, suppresses successful attacks, and improves overall system resilience. Simulations across a broad parameter space confirm that subsidies consistently outperform commitment alone. In addition, social-welfare analysis shows improved defender outcomes while keeping attacker gains low. These findings suggest that targeted support for key defenders can be an effective mechanism for stabilising cybersecurity in AI-driven environments and provide a theoretical bridge between cybersecurity policy, AI governance, and strategic allocation of defensive AI capabilities. |
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| Ključne besede: | evolutionary game theory, cybersecurity, AI security, finite population dynamics, differential AI access, committed defenders, social welfare, attack-defence strategies, social physics |
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| Status publikacije: | Objavljeno |
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| Verzija publikacije: | Objavljena publikacija |
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| Datum sprejetja članka: | 25.06.2026 |
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| Datum objave: | 03.07.2026 |
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| Leto izida: | 2026 |
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| Št. strani: | 21 str. |
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| Številčenje: | Letn. 210, del 2, članek št. 118728 |
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| PID: | 20.500.12556/DKUM-98815  |
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| UDK: | 004.8:519.83 |
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| COBISS.SI-ID: | 284242179 |
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| DOI: | 10.1016/j.chaos.2026.118728 |
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| ISSN pri članku: | 1873-2887 |
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| Datum objave v DKUM: | 09.07.2026 |
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| Število ogledov: | 368 |
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| Število prenosov: | 7 |
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| Metapodatki: |    |
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| Področja: | Ostalo
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