Dark Side of the Web: Dark Web Classification Based on TextCNN and Topic Modeling Weight

Dark Side of the Web: Dark Web Classification Based on TextCNN and Topic Modeling Weight

The Dark Web is an internet domain that ensures user anonymity and has increasingly become a focal point for illegal activities and a repository for information on cyberattacks owing to the challenges in tracking its users. This study examined the classification of the Dark Web in relation to these...

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Bibliographic Details
Main Authors: Gun-Yoon Shin, Younghoan Jang, Dong-Wook Kim, Sungjin Park, A-Ran Park, Younghwan Kim, Myung-Mook Han
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Dark web
dark web analysis
text classification
topic modeling
model explanation
Online Access:https://ieeexplore.ieee.org/document/10375503/

Internet

https://ieeexplore.ieee.org/document/10375503/

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