High‐quality steganography scheme using hybrid edge detector and Vernam algorithm based on hybrid fuzzy neural network

Author:

Dhawan Sachin1ORCID,Gupta Rashmi1

Affiliation:

1. Department of Electronics & Communication Engineering NSUT, East Campus, (Formerly Ambedkar Institute of Advanced Communication Technologies & Research) Delhi India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference62 articles.

1. Review of least significant bit technique for color image steganography;Deep A;Int J Innov Res Sci Eng Technol,2018

2. Performance evaluation of secrete image steganography techniques using least significant bit (LSB) method;Arya A;Int J Comput Sci Trends Technol,2018

3. FouroozeshZ Al Ja'amJ.Image steganography based on LSBMR using Sobel edge detection. Paper presented at: The Third International Conference on e‐Technologies and Networks for Development (ICeND2014). Lebanese University Campus of Hadath Beirut ‐Lebanon; 2014:141‐145.

4. Improved hash based approach for secure color image steganography using Canny edge detection method;Singh S;Int J Comput Sci Netw Secur,2015

5. Analysis of various data security techniques of steganography: a survey;Dhawan S;Inf Secur J Glob Perspect,2020

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2. A Novel Steganography Approach Using S-CycleGAN With an Improvement of Loss Function;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2023-04-28

3. An efficient steganography technique based on S2OA & DESAE model;Multimedia Tools and Applications;2022-09-26

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