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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 30 / No. 1: Thirtieth AAAI Conference On Artificial Intelligence

Multi-Defender Strategic Filtering Against Spear-Phishing Attacks

March 8, 2023

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Authors

Aron Laszka

University of California, Berkeley


Jian Lou

Vanderbilt University


Yevgeniy Vorobeychik

Vanderbilt University


DOI:

10.1609/aaai.v30i1.10020


Abstract:

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.

Topics: AAAI

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HOW TO CITE:

Aron Laszka|| Jian Lou|| Yevgeniy Vorobeychik Multi-Defender Strategic Filtering Against Spear-Phishing Attacks Proceedings of the AAAI Conference on Artificial Intelligence, 30 (2016) .

Aron Laszka|| Jian Lou|| Yevgeniy Vorobeychik Multi-Defender Strategic Filtering Against Spear-Phishing Attacks AAAI 2016, .

Aron Laszka|| Jian Lou|| Yevgeniy Vorobeychik (2016). Multi-Defender Strategic Filtering Against Spear-Phishing Attacks. Proceedings of the AAAI Conference on Artificial Intelligence, 30, .

Aron Laszka|| Jian Lou|| Yevgeniy Vorobeychik. Multi-Defender Strategic Filtering Against Spear-Phishing Attacks. Proceedings of the AAAI Conference on Artificial Intelligence, 30 2016 p..

Aron Laszka|| Jian Lou|| Yevgeniy Vorobeychik. 2016. Multi-Defender Strategic Filtering Against Spear-Phishing Attacks. "Proceedings of the AAAI Conference on Artificial Intelligence, 30". .

Aron Laszka|| Jian Lou|| Yevgeniy Vorobeychik. (2016) "Multi-Defender Strategic Filtering Against Spear-Phishing Attacks", Proceedings of the AAAI Conference on Artificial Intelligence, 30, p.

Aron Laszka|| Jian Lou|| Yevgeniy Vorobeychik, "Multi-Defender Strategic Filtering Against Spear-Phishing Attacks", AAAI, p., 2016.

Aron Laszka|| Jian Lou|| Yevgeniy Vorobeychik. "Multi-Defender Strategic Filtering Against Spear-Phishing Attacks". Proceedings of the AAAI Conference on Artificial Intelligence, 30, 2016, p..

Aron Laszka|| Jian Lou|| Yevgeniy Vorobeychik. "Multi-Defender Strategic Filtering Against Spear-Phishing Attacks". Proceedings of the AAAI Conference on Artificial Intelligence, 30, (2016): .

Aron Laszka|| Jian Lou|| Yevgeniy Vorobeychik. Multi-Defender Strategic Filtering Against Spear-Phishing Attacks. AAAI[Internet]. 2016[cited 2023]; .


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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