A Huffman Code LSB based Image Steganography Technique Using Multi-Level Encryption and Achromatic Component of an image

Abstract

It is essential in the field of cover steganography to track down a mechanism for concealing data by utilizing different blends of compression strategies. Amplifying the payload limit, robust, and working on the visual quality is the essential factors of this research to make a reliable mechanism. We can’t compromise on image quality up to a confident flat because it halts the concepts of cover steganography while the maximum embedding limit is also the main factor that makes the technique more efficient. So, Image steganography is the state of art method that hides a data inside any cover mediums such as images, videos, texts, audios etc. Steganography is the specialty of implanting a mystery message so that nobody can think of it or no unaided eye can identify it. There is no information on the current information inside the cover object in the wake of encrypting. In the recent couple of years, due to the achievement of accelerated popularity of the internet, various organizations such as government offices, military, private companies etc. use different transferring methods for exchanging their information. The internet has various benefits and a few demerits. The primary bad mark is protection and security and information transmission over an unreliable network. Different cover steganography research strategies have been recommended as of late yet, and each adores its benefits and impediments but, there is the need to foster some better cover steganography implements to accomplish dependability between the essential model of cover steganography. To handle these issues, this paper proposed a future method in view of Huffman code, Least Significant Bits (LSB) based cover steganography utilizing Multi-Level Encryption (MLE) and colorless part (HC-LSBIS-MLE-AC) of the picture. It also used different substitution and flicking concept, MLE, Magic matrix, and achromatic concepts for proving the proficiency, and significance of the method. The suggested method used an encrypted algorithm to upheld the appearances of the image. The algorithm also statistically investigated based on some Statistical Assessment Metrics (SAM) such as Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Normalized Cross Correlation (NCC), Structural Similarity Index Metric (SSIM) etc. and different perspectives. The observational outcomes show the likelihood of the proposed algorithm and the capacity to give unwavering quality between security, payload, perception, computation, and temper protection.

Embedding secrets in pixels: two-level security through DNA encryption and LSB image steganography

“…Rahman and colleagues introduced a technique that combines Huffman coding, Least Significant Bits (LSB) for steganographic cover, and Multi-Level Encryption (MLE) alongside the achromatic segment of the image, as described in their work [25]. Various techniques of DNA-based cryptography have been developed over the years.…”

Information-hiding cameras: Optical concealment of object information into ordinary images

“…Building on this need, methods of steganography have emerged to conceal sensitive information within ordinary-looking objects or media, masking the presence of confidential data and avoiding unwanted attention (8,9). For instance, the traditional least significant bit substitution (10)(11)(12)(13) method digitally modifies the least noticeable bits of the pixel values in an image to embed secret data, making changes that are invisible to the human eye. Another digital approach involves the use of transform-domain techniques, where the confidential data are embedded in frequency components of the image, using digital algorithms based on, e.g., discrete cosine transforms or wavelets (9,(14)(15)(16).…”