Deep Dive into Client-Side Anti-Phishing: A Longitudinal Study Bridging Academia and Industry-Reference-Cited by-同舟云学术

Deep Dive into Client-Side Anti-Phishing: A Longitudinal Study Bridging Academia and Industry

Published:2024-07 Issue: Volume:11559 Page:638-653
ISSN:
Container-title:Proceedings of the 19th ACM Asia Conference on Computer and Communications Security
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Author:

Pourmohamad Rana¹^ORCID,Wirsz Steven²^ORCID,Oest Adam²^ORCID,Bao Tiffany²^ORCID,Shoshitaishvili Yan²^ORCID,Wang Ruoyu²^ORCID,Doupé Adam³^ORCID,Bazzi Rida A.²^ORCID

Affiliation:

1. School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA

2. School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, United States of America

3. School of Computing and Augmented Intelligence, Arizona State University, Tempe, United States of America

Funder

Advanced Research Projects Agency

Defense Advanced Research Projects Agency

Publisher

ACM

Reference77 articles.

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3. Bypassing Detection of URL-based Phishing Attacks Using Generative Adversarial Deep Neural Networks

4. Phishing environments, techniques, and countermeasures: A survey

5. Charles Anderson. 2019. Adversarial Sampling Attacks Against Phishing Detection. In Data and Applications Security and Privacy XXXIII: 33rd Annual IFIP WG 11.3 Conference, DBSec 2019, Charleston, SC, USA, July 15--17, 2019, Proceedings, Vol. 11559. Springer, 83.