Name
Abstract | ||
|---|---|---|
Phishing is a cybercrime in which deceitful websites lure naive users and trick them into disclosing confidential information, such as social media passwords or financial data. Phishing websites are crafted such that they superficially appear similar to popular legitimate websites. This paper aims to detect such phishing websites by proposing a novel classifier that takes lexical-based, script-bas... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CyberSA52016.2021.9478237 | 2021 International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA) |
Keywords | DocType | ISBN |
Uniform resource locators,Time-frequency analysis,Social networking (online),Phishing,Pipelines,Web pages,Feature extraction | Conference | 978-1-6654-2529-2 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peya Mowar | 1 | 0 | 0.68 |
| Mini Jain | 2 | 0 | 0.68 |