Classification_Rawdata_MultieInput

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

1. split raw file with offset and save at input/data

   input/data/0, input/data/1, … , input/data/26399

   
   

2. make dataframe to use at train

   add byte frequency / byte data

   
   

3. CNN Model = byte data -> Conv1D

   
   

4. FNN Model = Merge[CNN Model.output + byte frequency input]

   
   

5. Classifiaction with K-fold and save model

   
   

6. Check Confusion matrix