rocionightwater / ml-nids-for-scada Goto Github PK

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

Can you tell me how to solve this problem？

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