Towards Adversarial Phishing Detection

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Abstract

Over the recent decades, numerous evaluations of automated methods for detecting phishing attacks have been reporting stellar detection performances based on empirical evidence. These performances often neglect the adaptive behavior of an adversary seeking to evade detection, yielding uncertainty about their adversarial robustness. This work explores the adversarial robustness of highly influential and recent detection solutions, by assessing their common detection strategies. Following discussions of potential evasion techniques of these strategies, we present examples of techniques that enable evasion through imperceptible perturbations. In order to enable and improve future evaluations for adversarial robustness, a set of design guidelines is proposed.

Original languageEnglish
Title of host publication13th USENIX Workshop on Cyber Security Experimentation and Test
Number of pages10
PublisherUSENIX - The Advanced Computing Systems Association
Publication dateAug 2020
ISBN (Print)9781713815211
Publication statusPublished - Aug 2020
Event13th USENIX Workshop on Cyber Security Experimentation and Test - Online
Duration: 10 Aug 202010 Aug 2020
https://www.usenix.org/conference/cset20

Conference

Conference13th USENIX Workshop on Cyber Security Experimentation and Test
LocationOnline
Period10/08/202010/08/2020
Internet address

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