file_csv : input/base.csv
no, offset, type
file_raw : input/raw_data.raw
binary file
download raw data file -> ./input/
https://drive.google.com/open?id=18eUlrHz3ll03WdgVzhFPcCg9W9ETWCdk
-
split raw file with offset and save at input/data
input/data/0, input/data/1, … , input/data/26399
-
make dataframe to use at train
add byte frequency / byte data
-
CNN Model = byte data -> Conv1D
-
FNN Model = Merge[CNN Model.output + byte frequency input]
-
Classifiaction with K-fold and save model
-
Check Confusion matrix