Dataset for fuzzzing data generation based on deep advisial learning

- Citation Author(s):
- Submitted by:
- Zhihui Li
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- DOI:
- 10.21227/epht-bj38
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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