DRSDetector: Detecting Gambling Websites by Multi-level Feature Fusion
Author:
Affiliation:
1. Institute of Information Engineering, Chinese Academy of Sciences
2. National Computer Network Emergency Response Technical Team/Coordination Center of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10217219/10217829/10217923.pdf?arnumber=10217923
Reference21 articles.
1. Phishing Website Classification and Detection Using Machine Learning
2. Honeypot System for Automatic Reporting of Illegal Online Gambling Sites Utilizing SMS Spam
3. URLNet: Learning a URL representation with deep learning for malicious URL detection[J];le;ArXiv Preprint,2018
4. Adopting Machine Learning to Support the Detection of Malicious Domain Names
5. Using Extended Character Feature in BiLSTM for DGA Domain Name Detection;pan;2022 IEEE/ACIS 22nd International Conference on Computer and Information Science (ICIS),0
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1. Automating Hidden Gambling Detection in Web Sites: A BeautifulSoup Implementation;2024 21st International Joint Conference on Computer Science and Software Engineering (JCSSE);2024-06-19
2. Constructs of Deceit: Exploring Nuances in Modern Social Engineering Attacks;Lecture Notes in Computer Science;2024
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