danielgibert / derandomized_smoothing_for_malware_detection

MIT License
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why I can't download the datasets? #1

Closed qiuyuebai123 closed 3 months ago

qiuyuebai123 commented 3 months ago

image

danielgibert commented 3 months ago

Because the datasets are not provided.

qiuyuebai123 commented 3 months ago

so you mean that nobody can renew you experiments?How can I run your code?

danielgibert commented 3 months ago

Anyone can replicate the experiments as long as they have access to the BODMAS dataset. Ask the authors of the dataset for the data.

If you don't have access to the BODMAS dataset, you can still run the code with your own data.

qiuyuebai123 commented 3 months ago

if I download the datasets from others,how to change the code to run it?thanks

danielgibert commented 3 months ago

This information is described in the README. Take a look at the scripts provided in src/scripts/training/MalConv/. You need to change the filepaths that point out to the goodware and malware directories.

qiuyuebai123 commented 3 months ago

image I find someone upload csv documents like these,these are all the BODMAS dataset samples? image image

danielgibert commented 3 months ago

These are the hashes of the executables from the BODMAS dataset, timestamp, and malware family (if malicious)

qiuyuebai123 commented 3 months ago

Could you please send mo the datasets?I can't find it anywhere and Idon't have my own datasets,thank you ,my email is aa1060649485@outlook.com

danielgibert commented 3 months ago

No, I can't. Check the following links: https://whyisyoung.github.io/BODMAS/ https://github.com/iosifache/DikeDataset https://practicalsecurityanalytics.com/pe-malware-machine-learning-dataset/

I close this issue as finding appropiate datasets is not related to my code.

qiuyuebai123 commented 3 months ago

image

In the file named test_end2end_detector.py,you set up the parameters models/vanilla/MalConv/MalConv_maxlen_1000000_paddingvalue_256/test_set_gpu.out as goodware_subset_filepath,but I can't find it following the road