An ensemble deep neural network model was proposed to detect onion-routed traffic to improve cloud security. The model uses a combination of convolutional and recurrent neural networks along with transfer learning. It was able to detect Tor traffic with over 97% accuracy, outperforming existing methods. This helps cloud providers better monitor network traffic and identify potential threats.