Name
Title | ||
|---|---|---|
A machine-learning framework for supporting intelligent web-phishing detection and analysis |
Abstract | ||
|---|---|---|
This paper proposes a machine-learning framework for supporting intelligent web phishing detection and analysis, and provides its experimental evaluation. In particular we make use of state-of-the-art decision tree algorithms for detecting whether a Web site is able to perform phishing activities. If this is the case, the Web site is classified as a Web-phishing site. Our experimental evaluation confirms the benefits of applying machine learning methods to the well-known web-phishing detection problem.
|
Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3331076.3331087 | Proceedings of the 23rd International Database Applications & Engineering Symposium |
Keywords | DocType | ISBN |
machine learning for supporting web phishing detection, web phishing, web phishing analysis | Conference | 978-1-4503-6249-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alfredo Cuzzocrea | 1 | 1751 | 200.90 |
| Fabio Martinelli | 2 | 10 | 5.34 |
| Francesco Mercaldo | 3 | 319 | 50.25 |