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
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
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)
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