Dataset for fuzzzing data generation based on deep advisial learning

Citation Author(s):
Zhihui
Li
Submitted by:
Zhihui Li
Last updated:
Tue, 01/29/2019 - 04:35
DOI:
10.21227/epht-bj38
Data Format:
License:
0
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Abstract 

This dataset was collected from an industrial control system running the Modbus protocol. It is used to train a deep adversarial learning model. This model is used to generate fuzzing data in the same format as the real one. The data is a sequence of hexadecimal numbers. The followed generated data is produced by the already trained model.

 

Instructions: 

 

These decimal data can be input into the neural network for training in the form of matrix