Phish Me If You Can – Lexicographic Analysis and Machine Learning for Phishing Websites Detection with PHISHWEB-Reference-Cited by-同舟云学术

Phish Me If You Can – Lexicographic Analysis and Machine Learning for Phishing Websites Detection with PHISHWEB

Published:2023-06-19 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 9th International Conference on Network Softwarization (NetSoft)
language:
Short-container-title:

Author:

Aravena L. Torrealba¹,Casas P.¹,Bustos-Jiménez J.²,Capdehourat G.³,Findrik M.⁴

Affiliation:

1. AIT Austrian Institute of Technology

2. NIC Labs, Universidad de Chile

3. Universidad de la República & Plan Ceibal

4. cyan Security Group

Publisher

IEEE

Link

Reference11 articles.

4. PHISHWEB - a Progressive, Multi-Layered System for Phishing Websites Detection;torrealba;IMC,2022

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. DeepD2V - Deep Learning and Domain Word Embeddings for DGA based Malware Detection;2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN);2024-05-05

3. Malicious URL Detection using Sequence to Sequence Integration and Deep Learning Models;2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT);2024-05-02