Open AccessAn Adaptive Image Steganography Technique Using LSB and MSB
Author(s) -
Ajanthaa Lakkshmanan,
Puja Dharia,
Fairy Gandhi
Publication year - 2013
Publication title -
iars international research journal
Language(s) - English
Resource type - Journals
eISSN - 2202-2821
pISSN - 1839-6518
DOI - 10.51611/iars.irj.v3i1.2013.26
Subject(s) - steganography , least significant bit , payload (computing) , cover (algebra) , steganography tools , computer science , communication source , transparency (behavior) , steganalysis , computer vision , embedding , information hiding , artificial intelligence , digital watermarking , theoretical computer science , image (mathematics) , computer security , computer network , engineering , mechanical engineering , network packet , operating system
IN modern years Steganography is playing a significant role in secure communication. It is a technique of embedding secret information into cover media (image, video, audio and text) such that only the sender and the authoritative receiver can detect the occurrence of hidden information. The two essential properties of Steganography are good visual imperceptibility of the payload which is crucial for security of hidden communication and payload is essential for conveying huge quantity of secret information. Steganography has to satisfy two requirements, one is capability and the other is transparency. Capability means embedding large payload into media. Transparency means an ability to prevent distinction between stego and cover image by statistical analysis. Earlier they have used least significant bit (LSB), the simplest form of Steganography. In LSB method, data is inserted in the least significant bit which leads to a negligible change on the cover image that is not visible to the naked eye. Since this method can be easily cracked, it is more exposed to attacks. In the proposed system we propose Spatial Domain Steganography using 1-Bit Most Significant Bit (MSB) with confused manner.