Dependence of Physiochemical Features on Marine Chlorophyll Analysis with Learning Techniques

Adhikary, Subhrangshu; Chaturvedi, Sudhir Kumar; Banerjee, Saikat; Basu, Sourav

doi:10.1007/978-3-030-79065-3_29

Cited by 5 publications

(1 citation statement)

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“…And the corresponding image-data key contains the array of tuples containing the position of the chunk in the graph, numbering to identify the payload image and the processed chunks of 512 bytes each. This JSON is then used to prepare the final string to be embedded within the cover images [19][20].…”

Section: The Mapping Graph and Json Key-value Pair Dictionarymentioning

confidence: 99%

Images Within Images? A Multi-image Paradigm with Novel Key-Value Graph Oriented Steganography

Adhikary¹

2022

Intelligent Computing &Amp; Optimization

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Steganographic methods have been in the limelight of research and development for concealing secret data within a cover media without being noticed through general visualization. The Least Significant Bits (LSBs) of 8bit color code for the RGB image arises the possibility of replacing the last two bits with the bits of the encrypted message. Several procedures have been developed to hide an image within another image however in most cases the payload image has to be within the accommodatable range of the cover image and very little literature have shown methods to hide multiple images within multiple images. This paper presents a novel approach to split the image into JSON styled dictionary of key-value pairs and using a metadata graph to locate different parts and positions of the payload images in the entire cluster of cover images. The model could be easily used in the real world scenario for privately sharing secret data over public communication channels without being noticed.

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Section: The Mapping Graph and Json Key-value Pair Dictionarymentioning

confidence: 99%