Open AccessImplementation of Steganographic Model using Inverted LSB Insertion
Author(s) -
Shubhangi D. Kamat,
Prof. S.S. Patil,
Prof. A.S. Mali
Publication year - 2018
Publication title -
international journal of engineering and management research
Language(s) - English
Resource type - Journals
eISSN - 2394-6962
pISSN - 2250-0758
DOI - 10.31033/ijemr.8.4.7
Subject(s) - least significant bit , steganography , steganalysis , computer science , secrecy , pixel , steganography tools , peak signal to noise ratio , artificial intelligence , image (mathematics) , computer vision , computer security , operating system
The most important thing in this insecure world is the secrecy of everything. In today’s world, any important data costs more than money. Steganography is the technique in which one can hide data as a secrete in selected image. In case of spatial domain, LSB approach is most popular insteganography, where all the LSBs of pixels of image are replaced by the bits of secret data. But the problem is that the secrete can be easily guessed by the hacker and the data is obtained by extracting it from direct LSBs. To make the system more robust and to improve the signal to noise ratio, the conventional LSB insertion method is replaced by inverted LSB technic. The decision to invert or not the LSB depends on combination of the 2nd and 3rd LSB. As not each and every LSB is inverted, it makes the steganalysis very difficult.