WebMon: ML- and YARA-based malicious webpage detection-Reference-Cited by-同舟云学术

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WebMon: ML- and YARA-based malicious webpage detection

Published:2018-06 Issue: Volume:137 Page:119-131
ISSN:1389-1286
Container-title:Computer Networks
language:en
Short-container-title:Computer Networks

Author:

Kim Sungjin^ORCID,Kim Jinkook,Nam Seokwoo,Kim Dohoon

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference29 articles.

1. detection and analysis of drive-by-download attacks and malicious javascript code;Cova,2010

2. The Cuckoo Sandbox, http://www.cuckoosandbox.org/.

3. Thug, http://buffer.github.io/thug/.

4. WebKit2, https://trac.webkit.org/wiki/WebKit2.

5. YARA, http://plusvic.github.io/yara/.

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2. Automatically Generate Malware Detection Rules By Extracting Risk Information;Proceedings of the 2024 5th International Conference on Computing, Networks and Internet of Things;2024-05-24

3. Multi-Modal Features Representation-Based Convolutional Neural Network Model for Malicious Website Detection;IEEE Access;2024

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