Integrated Method for Detection of Unknown Steganographic Content

This article concerns the presentation of an integrated method for detection of steganographic content embedded by new unknown programs. The method is based on data mining and aggregated hypothesis testing. The article contains the theoretical basics used to deploy the proposed detection system and the description of improvement proposed for the basic system idea. Further main results of experiments and implementation details are collected and described. Finally example results of the tests are presented.

Authors:

• Magdalena Pejas

Keywords:

• Steganography
• steganalysis
• data embedding
• data mining
• feature extraction
• knowledge base
• system learning
• hypothesis testing
• error estimation
• black box program
• file structure.

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