Employing social network analysis to dark web communities-Reference-Cited by-同舟云学术

Employing social network analysis to dark web communities

Published:2022-07-27 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Cyber Security and Resilience (CSR)
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Author:

Nikoletos Sotirios¹,Raftopoulou Paraskevi¹

Affiliation:

1. University of the Peloponnese,Dept. of Informatics & Telecommunications,Tripolis,Greece,GR22131

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9850275/9850277/09850325.pdf?arnumber=9850325

Reference24 articles.

1. Linking exploits from the dark web to known vulnerabilities for proactive cyber threat intelligence: An attention-based deep learning deep structured semantic model;samtani;MIS Quarterly,2022

2. inTIME: A Machine Learning-Based Framework for Gathering and Leveraging Web Data to Cyber-Threat Intelligence

3. Social Media Monitoring for IoT Cyber-Threats

4. Predicting enterprise cyber incidents using social network analysis on dark web hacker forums;sarkar;The Cyber Defense Review SPECIAL EDITION International Conference on Cyber Conflict (CYCON,2019

5. Extracting social structure from darkweb forums;phillips;Proceedings of the 5th International Conference on Social Media Technologies Communication and Informatics (OTICS),2015

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1. Social Opportunity Structures in Hacktivism: Exploring Online and Offline Social Ties and the Role of Offender Convergence Settings in Hacktivist Networks;Victims & Offenders;2024-07

2. Navigating the Shadows: Manual and Semi-Automated Evaluation of the Dark Web for Cyber Threat Intelligence;IEEE Access;2024