Mitigating Cybercrime Through Automated Darknet Traffic Detection Using CNNs

The rise in cybercrime activities on the darknet highlights the critical need for advanced techniques to detect and classify darknet traffic. The Tor network serves as a gateway to the darknet and dark web, enabling illicit activities such as unauthorized data exchanges, financial fraud, and cyberat...

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Bibliographic Details
Main Authors: Choorod, Pitpimon, Janpuangtong, Sasin, Weir, George R. S., Asmuth, Andreas
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Computational efficiency
Computational modeling
Computer crime
Convolutional neural networks
Cybercrime
Dark Web
Darknet traffic detection
Feature extraction
Payloads
Raw encrypted payloads
Real-time systems
Training
Online Access:Request full text
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