It’s a Trap! Detection and Analysis of Fake Channels on Telegram
Author:
Affiliation:
1. Sapienza University of Rome,Department of Computer Science,Italy
2. Temple University,Department of Computer Science and Information Sciences,United States
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10248204/10248227/10248275.pdf?arnumber=10248275
Reference51 articles.
1. Analysis of Telegram, An Instant Messaging Service
2. Fame for sale: Efficient detection of fake Twitter followers
3. Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences
4. Twitter fake account detection
5. Fake Account Identification in Social Networks
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2. Bias in X (Twitter) and Telegram Based Intelligence Analysis: Exploring Challenges and Potential Mitigating Roles of AI;SN Computer Science;2024-05-23
3. DARD: Deceptive Approaches for Robust Defense Against IP Theft;IEEE Transactions on Information Forensics and Security;2024
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