Visible to the public Multi-Defender Strategic Filtering Against Spear-Phishing AttacksConflict Detection Enabled

TitleMulti-Defender Strategic Filtering Against Spear-Phishing Attacks
Publication TypeConference Paper
Year of Publication2016
AuthorsAron Laszka, Jian Lou, Yevgeniy Vorobeychik
Conference Name30th AAAI Conference on Artificial Intelligence (AAAI)
Date PublishedFebruary
KeywordsFoundations, Intrusion/Anomaly Detection and Malware Mitigation, phishing, science of security, Social Engineering Attacks, SURE Project

Spear-phishing attacks pose a serious threat to sensitive computer systems, since they sidestep technical security mechanisms by exploiting the carelessness of authorized users. A common way to mitigate such attacks is to use e-mail filters which block e-mails with a maliciousness score above a chosen threshold. Optimal choice of such a threshold involves a tradeoff between the risk from delivered malicious emails and the cost of blocking benign traffic. A further complicating factor is the strategic nature of an attacker, who may selectively target users offering the best value in terms of likelihood of success and resulting access privileges. Previous work on strategic threshold-selection considered a single organization choosing thresholds for all users. In reality, many organizations are potential targets of such attacks, and their incentives need not be well aligned. We therefore consider the problem of strategic threshold-selection by a collection of independent self-interested users. We characterize both Stackelberg multi-defender equilibria, corresponding to short-term strategic dynamics, as well as Nash equilibria of the simultaneous game between all users and the attacker, modeling long-term dynamics, and exhibit a polynomial-time algorithm for computing short-term (Stackelberg) equilibria. We find that while Stackelberg multi-defender equilibrium need not exist, Nash equilibrium always exists, and remarkably, both equilibria are unique and socially optimal.

Citation KeyLaszkaLouVorobeychik16_MultiDefenderStrategicFilteringAgainstSpearPhishing