Springer Nature OA
open access
CC BY 4.0
Deep feature selection and neural architectures for robust darknet traffic classification
Accurately categorizing darknet traffic remains a significant cybersecurity challenge because of the encrypted and anonymous nature of communications made possible by technologies like Virtual Private Networks (VPNs) and The Onion Router (Tor). This work proposes a structured deep learning (DL)-base
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