A socio-technical model combining network misconfiguration scans and Twitter engagement features reports 98.43% AUC for classifying US organizations with reported hacking breaches, 12 points above technical features alone, though the setup is not a clean temporal prediction.
Risky busin ess: Fine- grained data breach prediction using business profiles,
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STRisk: A Socio-Technical Approach to Assess Hacking Breaches Risk
A socio-technical model combining network misconfiguration scans and Twitter engagement features reports 98.43% AUC for classifying US organizations with reported hacking breaches, 12 points above technical features alone, though the setup is not a clean temporal prediction.