Open AccessAn Enhanced Method for Information Hiding Using LSB Steganography
Author(s) -
Milan Sasmal,
Debasmita Mula
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1797/1/012015
Subject(s) - least significant bit , steganography , information hiding , computer science , rgb color model , pixel , invisibility , steganalysis , key (lock) , computer vision , ciphertext , artificial intelligence , image (mathematics) , color depth , digital image , channel (broadcasting) , image file formats , color image , computer security , encryption , image processing , computer network , operating system
This work involves a method to communicate one to one by hiding the information among all the people. Digital photographs are the most suitable components compared to other things available on the internet as transmitter based on their availability. This work basically ciphered message within a photographs. For hiding secret information in images, there exist an outsized sort of steganographic techniques some are more complex than others and every one of them have respective strong and weak points. Different applications may have separate requirements of the cipher technique used. for instance, some applications may require absolute invisibility of the key information, while others require a bigger secret message to be hidden. This work intends to offer an summary of image steganography, its uses and techniques. LSB (Least Significant Bit) technique is used for this work. Here bits of the text are replaced by the LSBs of the pixel values of the image. because the LSBs are alone changed, normal human eyes cannot predict the difference between the first image and therefore the resulting image. In this work, the pixel indicator technique has been used to hide information in RGB Images. Least two significant bits are used for this proposed methodology as of one for the channels of Red, Green or Blue as an indicator of data existence in the other two channels. Based on the image nature indicator bits will be generated randomly in the channel.