VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity-Reference-Cited by-同舟云学术

VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity

Published:2020-10-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security
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Author:

Abdelnabi Sahar¹,Krombholz Katharina¹,Fritz Mario¹

Affiliation:

1. CISPA Helmholtz Center for Information Security, Saarbrücken, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3372297.3417233

Reference55 articles.

1. PhishZoo: Detecting Phishing Websites by Looking at Them

2. APWG. 2019. Anti Phishing Working Group report. https://www.antiphishing.org/resources/apwg-reports/. APWG. 2019. Anti Phishing Working Group report. https://www.antiphishing.org/resources/apwg-reports/.

3. Wild patterns: Ten years after the rise of adversarial machine learning

4. Lexical feature based phishing URL detection using online learning

5. Use of HOG descriptors in phishing detection

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