deep-fingerprinting / df Goto Github PK
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Home Page: https://github.com/deep-fingerprinting/df
The source code and dataset are used to demonstrate the DF model, and reproduce the results of the ACM CCS2018 paper
Home Page: https://github.com/deep-fingerprinting/df
There were decoding errors as NoDef and WTF experiments, but reading the WalkieTalkie did not report any errors, my experimental environment is python 3.
Show one of the errors:
(tensorflow-gpu) F:\df\src>python ClosedWorld_DF_NoDef.py
Using TensorFlow backend.
Training and evaluating DF model for closed-world scenario on non-defended dataset
Number of Epoch: 30
Loading and preparing data for training, and evaluating the model
Loading non-defended dataset for closed-world scenario
Traceback (most recent call last):
File "ClosedWorld_DF_NoDef.py", line 46, in <module>
X_train, y_train, X_valid, y_valid, X_test, y_test = LoadDataNoDefCW()
File "F:\df\src\utility.py", line 17, in LoadDataNoDefCW
X_train = np.array(pickle.load(handle))
UnicodeDecodeError: 'ascii' codec can't decode byte 0xf0 in position 6: ordinal not in range(128)
How is the original packet pcap processed into the data format required by DF? Thank you.
Thank you for the author's excellent work, but when I downloaded the dataset from the link and used Pickle. load, I encountered some errors. Is the data in this dataset complete and undamaged
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