An Efficient Model for a Secured LSB Based Image Steganography in YCBCR Color Space

Abstract

Data is currently one of the most important means, and it must deal appropriately with the looming threat of cybersecurity. Furthermore, when data is transmitted from one place to another by the internet, there is a possibility that hackers may hack the data and modify it. That’s why we need to increase our security during data transmission. As a result, Steganography with cryptography terms came. Regardless matter how secures the crypto is, information is converted to encrypted message using a case of private key in cryptography. in cryptography, information is converted to an encrypted message using private key cryptography. However, the actual message is still accessible to others. And hackers know a secret communication is running. Contrarily, steganography is the use of various methods to hide information from unwanted eyes. Steganography by definition is the hiding of one file within another. This study offered a brand-new data-hiding technique based on LSB steganographic techniques, whereby only the user-selected picture pixels are used to conceal sensitive information. In order to do this, in LSB steganography-secured word and pixel intensity metadata are utilized so that the user needs to filter the whole picture in order to find the seeker pixel. The suggested approach improves security by converting each RGB pixel to YCbCr during embedding, using the XOR method to incorporate secret information, and encrypting the secret message using the RSA system before performing obfuscation techniques. In the experiment, MSE and PSNR values are scaled to control the stego picture's attractiveness. The stego picture has a greater PSNR but a lower MSE value when related to other analyzed styles, highlighting the rigidity of the suggested method.