COMPARATIVE STUDY OF LEAST SIGNIFICANT BIT AND HAAR WAVELET TRANSFORM STEGANOGRAPHY USING OPTIMIZATION COMBINATION
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Institusion
Universitas Bakrie
Author
Vennia, Richa
Subject
Computer Science
Datestamp
2016-09-16 06:47:47
Abstract :
Steganography is a technique which enables sending and displaying the hidden information in public places, lately as received more attention and faced many challenges. Encryption is known to secure channels for hiding data. However, due to lack of covertness on these channels, an eavesdropper can identify encrypted streams through statistical tests and capture them for further cryptanalysis. A combination of simple Least Significant Bit substitution and the applicants of wavelet transform and genetic algorithm(GA) to make a secure steganographic encoding on JPEG image then applying an optimal pixel adjustment process (OPAP) to improve the quality of the stego-image. The wavelet transform implement GA to obtain an optimal mapping function to reduce the difference error between the cover and the stego-image. The hiding capacity will have a low distortion and Peak Signal to Noise Ratio(PSNR).
Steganography is a technique which enables sending and displaying the hidden information in public places, lately as received more attention and faced many challenges. Encryption is known to secure channels for hiding data. However, due to lack of covertness on these channels, an eavesdropper can identify encrypted streams through statistical tests and capture them for further cryptanalysis. A combination of simple Least Significant Bit substitution and the applicants of wavelet transform and genetic algorithm(GA) to make a secure steganographic encoding on JPEG image then applying an optimal pixel adjustment process (OPAP) to improve the quality of the stego-image. The wavelet transform implement GA to obtain an optimal mapping function to reduce the difference error between the cover and the stego-image. The hiding capacity will have a low distortion and Peak Signal to Noise Ratio(PSNR).
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