Chavez, Stephannie Carl G. and Jacinto, Joana Clariz S.  4  0   <br/><br/>
A Further Enhancement of Least Significant BIT Algorithm applied in image Steganography        6 
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Stephannie Carl G. Chavez,  and Joana Clariz S. Jacinto. 
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<br/><br/>   Undergraduate Thesis: (BSCS major in Computer Studies) -  Pamantasan ng Lungsod ng Maynila,   2018. 
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<br/><br/> ABSTRACT:  	Steganography is the art of hiding confidential information (secret) within any media file (cover media) to produce an amalgamated secret-cover media called stego media, so that the secret cannot be recognized or recovered by unauthorized recipients. If suspicion is raised, steganography may fail. The success of steganography depends on the secrecy of the action. If steganography is detected the system will fail but data security depends on the robustnss of the applied algorithm. Image Steganography is a thriving research area of information security where secret data is embedded in images to hide its existence while getting the minimum possible statistical detectability. The stego-image is the result we get by running the algorithm you select on the message (file to hide) and cover (image). The various applications of steganography include secure military communications, multimedia watermaking and fingerprinting applications for authentication purposed to curb the problem of digital piracy. The main advantage of the proposed algorithm is to randomize the embedding of data inside the image, to keep the size of the cover image constant while the secret message increased in size, and to accept other languages. Experimental results validate that the proposed method not only enhances the visual quality of stego images but also provides good imperceptibility and multiple security levels as compared to several existing prominent methods.       
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