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

Separation

1. Run setup.m and complete environmental configuration
2. For QMDCT extraction, run data_processing/batch_script/QMDCT_extraction_batch1.bat or QMDCT_extraction_batch2.bat
3. For feature extraction, run matlab scripts of batch_script/feature_extraction_batch.m
4. For training and validation, run matlab scripts of train_test/ensemble_classifier/training_emsemble.m or train_test/svm_classifier/training_svm.m
5. For test, run matlab scripts of train_test/ensemble_classifier/test_ensemble.m or train_test/svm_classifier/test_svm.m

Integration

1. Run setup.m and complete environmental configuration
2. Run run_script_for_training1.m or run_script_for_training2.m for training and validation
3. Run run_script_for_test.m for test