Abstract
The continuous expansion of cyberspace offers numerous advantages but also broadens the cybersecurity attack surface, thereby affecting the resilience of critical infrastructure and societal systems. Given the complexity of factors affecting cybersecurity, a data-centric approach is needed, which involves leveraging existing datasets on cyber incidents and utilizing advanced data analytics techniques for enhanced preparedness against evolving cyber threats. In this study, we optimize past cyberattack data for statistical analysis and introduce a methodology for detecting significant shifts in cyberattack patterns through intervention analysis. By applying this approach, we correlate major shifts in the cyber threat landscape over the past six years with critical societal events like COVID-19 and the Russia–Ukraine War, offering insights meaningful for both society and policy formulation.
Original language | English |
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Article number | 105265 |
Journal | Sustainable Cities and Society |
Volume | 103 |
DOIs | |
Publication status | Published - 2024 Apr |
Bibliographical note
Publisher Copyright:© 2024 Elsevier Ltd
Keywords
- COVID-19
- Causal inference
- Cyberattacks
- Cybersecurity
- Intervention analysis
- Russia-Ukraine war
- Societal events
ASJC Scopus subject areas
- Geography, Planning and Development
- Civil and Structural Engineering
- Renewable Energy, Sustainability and the Environment
- Transportation