<i>PHISHWEB</i>-Reference-Cited by-同舟云学术

PHISHWEB

Published:2022-10-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 22nd ACM Internet Measurement Conference
language:
Short-container-title:

Author:

Aravena Lucas Torrealba¹,Bustos-Jiménez Javier¹,Casas Pedro²

Affiliation:

1. Universidad de Chile, Chile

2. Austrian Institute of Technology, Austria

Funder

FFG Austria

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3517745.3563028

Reference5 articles.

1. Alessandro Cucchiarelli , Christian Morbidoni , Luca Spalazzi , and Marco Baldi . 2021. Algorithmically generated malicious domain names detection based on n-grams features. Expert Systems with Applications 170 ( 2021 ). Alessandro Cucchiarelli, Christian Morbidoni, Luca Spalazzi, and Marco Baldi. 2021. Algorithmically generated malicious domain names detection based on n-grams features. Expert Systems with Applications 170 (2021).

2. Carlo Marcelo Revoredo da Silva , Eduardo Luzeiro Feitosa, and Vinicius Cardoso Garcia . 2020 . Heuristic-based strategy for Phishing prediction: A survey of URL-based approach. Computers & Security 88 (2020). Carlo Marcelo Revoredo da Silva, Eduardo Luzeiro Feitosa, and Vinicius Cardoso Garcia. 2020. Heuristic-based strategy for Phishing prediction: A survey of URL-based approach. Computers & Security 88 (2020).

3. PhishStorm: Detecting Phishing With Streaming Analytics

4. Fishing out the Phishing Websites

5. Malicious Domain Names Detection Algorithm Based on N-Gram

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