Awesome
Audio Steganalysis with Handcrafted Features Design (Statistical Machine Learning)
Audio steganalysis based on the agorithms of statisctical machine learning.<br> @ Author: Yuntao Wang (Charles_wyt)<br> @ Email: wangyuntao2@iie.ac.cn <br> Hope we can have a happy communication.
This project is the implementation of our recent work for audio steganalysis based on statistical machine learning, and you can also design your own algoritm through 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.