Evaluation of various deep learning architectures (such as CNNs and RNNs) against traditional machine learning methods for detecting anomalies in network traffic.
If it was published in a major conference (like ICC or Globecom). 9441116CFB0A09EB3681B01D1151E395.zip
The associated .zip file often contains the NSL-KDD or UNSW-NB15 datasets used for the experiments described in the study. How to Access Evaluation of various deep learning architectures (such as
Many universities host these files in their digital archives for student access. 9441116CFB0A09EB3681B01D1151E395.zip