Audio Steganalysis via Machine Learning
Audio steganalysis via the methods of machine learning.
@ Author: Charles_wyt
@ Email: wangyuntao2@iie.ac.cn
Hope we can have a happy communication.
This project is a machine learning implementation of our recent work for audio steganalysis, and you can also design your own algoritm via this platform.
Files
| ID | File | Function |
|---|---|---|
| 1 | application | audio steganalysis and steganographied find |
| 2 | batch_script | all batch scripts for feature extraction, training, test and so on |
| 3 | data_processing | tools which are used for QMDCT coefficients extraction and dataset build |
| 4 | feature_extract | the scripts for feature extraction (ADOTP, MDI2, I2C, D2MA, JPBC, Co-Occurance) |
| 5 | plot | scripts for figure plot |
| 6 | train_test | training, validation and test via svm and ensemble classifier |
| 7 | utils | some basic tools such as get files name and get files list |
How to use
Single task
Separation
- Run setup.m and complete environmental configuration.
- For QMDCT extraction, run data_processing/batch_script/QMDCT_extraction_batch1.bat or QMDCT_extraction_batch2.bat.
- For feature extraction, run matlab scripts of batch_script/feature_extraction_batch.m.
- For training and validation, run matlab scripts of train_test/ensemble_classifier/training_emsemble.m or train_test/svm_classifier/training_svm.m.
- For test, run matlab scripts of train_test/ensemble_classifier/test_ensemble.m or train_test/svm_classifier/test_svm.m.
Integration
- Run setup.m and complete environmental configuration.
- Run run_script_for_training1.m or run_script_for_training2.m for training and validation.
- Run run_script_for_test.m for test.
Multiple tasks
- Run setup.m and complete environmental configuration.
- Run run_script_for_experiments.m or run_script_for_experiments1.m, and all results are writtten into a text file.