INFORMATION HIDING USING MP3 AUDIO FILES
Abstract:
MP3Stego is a typical steganographic tool for MP3 audio, which embeds secret message into MP3 audio according to the parity of the block length. In this paper, a detection method for MP3Stego based on the differential statistics of quantization step is present. By analyzing the algorithm of MP3Stego, we find that the quantization step which is an important parameter of MP3 encoding is affected during embedding. The standard deviation of the second-order differential sequence from quantization step is adopted as the classification feature. Experimental results indicate that the proposed algorithm is effective in detecting MP3Stego and can achieve better detection performance than the existing algorithms. Hackers and Identity thieves are constantly coming up with ways to subvert computer & network defenses. Steganography (literal meaning: covered writing) is one way to accomplish this. Steganography is the art of passing information in a manner that the very existence of the message is unknown. K. Weeks note that digital steganography is based on the fact that artifacts like bitmaps and audio files contain redundant information. Compression techniques like JPEG and MP3 eliminate part of the redundancy allowing the file to be compressed. With DigSteg, you replace some of the redundant information with other data. the Human Auditory System (HAS) operates over a wide dynamic range of frequencies but it’s fairly poor with respect to its differential range. Loud sounds tend to mask out software sounds easily. This gives us a clue on possible candidates for DigSteg masking
Frontend:
DOTNET
Backend:
SQL SERVER
Area:
APPLICATION PROJECT
Domain:
IMAGE PROCESSING