A Topic-Based Unsupervised Learning Approach for Online Underground Market Exploration-Reference-Cited by-同舟云学术

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A Topic-Based Unsupervised Learning Approach for Online Underground Market Exploration

Published:2019-08 Issue: Volume: Page:
ISSN:
Container-title:2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)
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Author:

Huang Shin-Ying,Ban Tao

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8883860/8887294/08887330.pdf?arnumber=8887330

Cited by 6 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

1. Understand your shady neighborhood: An approach for detecting and investigating hacker communities;Decision Support Systems;2024-09

2. Understanding markers of trust within the online stolen data market: An examination of vendors’ signaling behaviors relative to product price point;Criminology & Public Policy;2023-10-11

3. Artificial intelligence for cybersecurity: Literature review and future research directions;Information Fusion;2023-09

4. Values and Value Conflicts in the Context of OSINT Technologies for Cybersecurity Incident Response: A Value Sensitive Design Perspective;Computer Supported Cooperative Work (CSCW);2023-04-04

5. Learning to Detect: A Semi Supervised Multi-relational Graph Convolutional Network for Uncovering Key Actors on Hackforums;2021 IEEE International Conference on Big Data (Big Data);2021-12-15

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