In this work, we aim at developing a NIDS (Network Intrusion Detection System) that detects attacks targeting SCADA systems, in a concrete industrial used case scenario.
I am working on a project on ICS security,but lack of experimental data. I hope to do the job based on your work. I noticed that there are only raw data here, so can the preprocessed data be shared? It will help a lot for me!
When I run the flowing code:
payload_features = payload_features.view(np.float64).reshape(payload_features.shape + (-1,))
An error occurs:
ValueError: When changing to a smaller dtype, its size must be a divisor of the size of original dtype
Need preprocessed np data for specific classification. While Im trying to run the preprocess_data_lstm.py with respective args, im facing following issue , help me to getout of the issue.
payload_features = payload_features.view(np.float64).reshape(payload_features.shape + (-1,))
ValueError: When changing to a smaller dtype, its size must be a divisor of the size of original dtype