Research Article

Identifying Key Relationships between Nation-State Cyberattacks and Geopolitical and Economic Factors: A Model

Table 1

Related work analysis.

APTsGPE factorsRQ1RQ2MethodologyDataset

[27]xxxCustom cause-and-effect modelCustom set of attacks, actors, and defenses
[28]xxxTheoretical31 cyberattacks
[29]xxxTheoreticalTheoretical
[30]xxPearson’s correlation and quadratic assignment procedureArbor Networks DDoS attacks data, World Bank Open Data, EconStats web page, and U.S. Naval Academy data
[31]xxxFormal Concept AnalysisOpen resources such as online news articles, books, and scholarly journals and papers
[32]xxBaseline logistic regression models, mixed-effects models, and rare events logistic modelsDyadic Cyber Incident and Campaign Dataset version 1.5, Standard International Trade Classification level 5, World Development Indicators, Economic Complexity Index from the MIT’s Observatory of Economic Complexity, Idealpoint index, Polity IV Project, and UCDP/PRIO Armed Conflict Dataset
[33]xxTheoreticalTheoretical
[34]12xxOrdinary Least Squares fixed-effects models and Generalised Least Squares (GLS) random-effects modelsDyadic Cyber Incident and Dispute Dataset version 1.0 and media sources
OursLinear regression models13 APT groups, GDELT data, World Development Indicators database, the United Nations Statistics Division, and the International Monetary Fund

1Not only APTs but also a more diverse set of cyberattacks are considered. 2Only strategic/diplomatic factors are considered.