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Optimizing Personalized Email Filtering Thresholds to Mitigate Sequential Spear Phishing Attacks

AAAI 2016 · Adversarial robustness and security › Attacks on text and graphs · approach: Membership inference and inversion · 38 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
model sequential attacker instead of non-sequential attacker when setting thresholds (PEDS vs Laszka et al.)personalized thresholds · single credential, rho_T > 0defender utilityHelped
model sequential attacker (PEMS vs Laszka et al.)personalized thresholds · multiple credentialsdefender utilityHelped
personalize thresholds instead of uniform thresholdPEDS/PEMS · spear phishing gamedefender utilityHelped
Laszka et al. personalization vs optimal uniform strategyLaszka et al. · single credential, rho_T > 0.5defender utilityHurt
no spear phishing (rho_T = 0)PEDS/PEMS vs Laszka et al. · rho_T = 0defender utilityNo clear effect
10% noise on attack cost estimates (ablation)PEDS/PEMS · robustness w.r.t. c_udefender utilityNo clear effect
10% noise on susceptibility estimates (ablation)PEDS/PEMS · robustness w.r.t. a_udefender utilityNo clear effect

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