Towards Adversarial Phishing Detection

Authors: 

Thomas Kobber Panum and Kaspar Hageman, Department of Electronic Systems, Aalborg University; René Rydhof Hansen, Department of Computer Science, Aalborg University; Jens Myrup Pedersen, Department of Electronic Systems, Aalborg University

Long Position Paper

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.

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BibTeX
@inproceedings {256938,
author = {Thomas Kobber Panum and Kaspar Hageman and Ren{\'e} Rydhof Hansen and Jens Myrup Pedersen},
title = {Towards Adversarial Phishing Detection},
booktitle = {13th {USENIX} Workshop on Cyber Security Experimentation and Test ({CSET} 20)},
year = {2020},
url = {https://www.usenix.org/conference/cset20/presentation/panum},
publisher = {{USENIX} Association},
month = aug,
}

Presentation Video