HIDING TEXT IN AUDIO-STEGANOGRAPHY
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This document discusses hiding textual data in an audio signal. It modifies the binary values of audio samples to embed secret text bits. The extraction process retrieves the hidden bits from the modified sample values. Key advantages are secrecy between sender and receiver, imperceptibility from the original audio, and high data capacity depending on file size. Disadvantages include loss of confidentiality if the algorithm is known, potential misuse, and inability to retrieve the original signal due to distortion. Applications include use in corporate communications, forensics, and by anti-social elements.
HIDING TEXT IN AUDIO-STEGANOGRAPHY
- 2. OBJECTIVE TO HIDE TEXTUAL DATA IN AN AUDIO SIGNAL
- 9. Sample No. Binary values of corresponding sample Binary value to be embedded Binary values after modification 51 01110100 0 01110100 53 01011110 1 01011111 55 10001011 0 10001010 57 01111011 0 01111010 59 10100010 0 10100010 61 00110010 0 00110010 63 11101110 0 11101110 65 01011100 1 01011101 SAMPLES OF AUDIO FILE BEFORE AND AFTER EMBEDDING
- 10. EXTRACTION OF DATA FROM AUDIO FILE Sample No. Binary values with embedded secret data Bits that are stored in the queue 51 01110100 0 53 01011111 01 55 10001010 010 57 01111010 0100 59 10100010 01000 61 00110010 010000 63 11101110 0100000 65 01011101 01000001
- 11. ADVANTAGES SECRECY : known only to the sender & receiver. IMPERCEPTIBILITY : indistinguishable from the original. HIGH CAPACITY : depends on the size of the audio.
- 12. DISADVANTAGES Once the algorithm is known confidentiality of the information is lost. Hackers may misuse the technique. Due to distortion original signal may not be obtained.
- 13. APPLICATIONS CORPORATE WORLD FORENSIC APPLICATIONS ANTI-SOCIAL ELEMENTS