On the Character of Phishing URLs
Author:
Affiliation:
1. University of Houston, Houston, TX, USA
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2699026.2699115
Reference31 articles.
1. Greg Aaron. Phishing activity trends report. http://docs.apwg.org/reports/apwg_trends_report_q1_2014.pdf 2014. Greg Aaron. Phishing activity trends report. http://docs.apwg.org/reports/apwg_trends_report_q1_2014.pdf 2014.
2. Efficient string matching
3. Feature Selection for Improved Phishing Detection
4. Lexical feature based phishing URL detection using online learning
5. Protect sensitive sites from phishing attacks using features extractable from inaccessible phishing URLs
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