The state of phishing attacks-Reference-Cited by-同舟云学术

The state of phishing attacks

Published:2012-01 Issue:1 Volume:55 Page:74-81
ISSN:0001-0782
Container-title:Communications of the ACM
language:en
Short-container-title:Commun. ACM

Author:

Hong Jason¹

Affiliation:

1. Carnegie Mellon University, Pittsburgh, PA

Abstract

Looking past the systems people use, they target the people using the systems.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/2063176.2063197

Reference39 articles.

1. A comparison of machine learning techniques for phishing detection

2. Anti-Phishing Working Group. APWG & Carnegie Mellon University's phishing education landing page; http://education.apwg.org/r/en/ Anti-Phishing Working Group. APWG & Carnegie Mellon University's phishing education landing page; http://education.apwg.org/r/en/

3. Blizzard Entertainment. Battle.net Authenticator FAQ; http://us.blizzard.com/support/article.xml?locale=en_US&articleId=24660 Blizzard Entertainment. Battle.net Authenticator FAQ ; http://us.blizzard.com/support/article.xml?locale=en_US&articleId=24660

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5. Phishing Detection Using Deep Learning and Machine Learning Algorithms: Comparative Analysis;2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2023-11-14