Calibrated Audio Steganalysis
سال انتشار: 1395
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 724
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شناسه ملی سند علمی:
CBCONF01_0107
تاریخ نمایه سازی: 16 شهریور 1395
چکیده مقاله:
Calibration is a common practice in image steganalysis for extracting prominent features. Based on the idea of re-embedding, a new set of calibrated features for audio steganalysis applications are proposed. These features are extracted from a model that has maximum deviation from human auditory system and had been specifically designed for audio steganalysis. Ability of the proposed system is tested extensively. Simulations demonstrate that the proposed method can accurately detect the presence of hidden messages even in very low embedding rates. Proposed method achieves an accuracy of 99.3% (StegHide@0.76% BPB) which is 9.5% higher than the previous R-MFCC based steganalysis method.
کلیدواژه ها:
نویسندگان
Hamzeh Ghasemzadeh
Electrical Engineering Department Islamic Azad University of Damavand Tehran, Iran
Mohammad H Kayvanrad
Biomedical Engineering Department Amirkabir University of Technology Tehran, Iran