Data Hiding by Unsupervised Clustering Using Fuzzy C-Mean

  • Student: Hiba Hamdi Hassa, Prof. Dr. Maisa'a Abid Ali Khodher
Keywords: Steganography, (LSB), fuzzy c-mean, Cluster, Machine learning

Abstract

In another message and views like a usual music, graphic or other file, steganography hides a message. Steganography aims to send messages under the guise of observing the very existence of information exchange, research aims at solving the problem of information and data security through the frequent use of the Internet by individuals and protecting information from intruders between the sender and the receiver. Introduce a method of steganography use key to determine the even pixel t from cover image to determine location hide data in cover image and that combines LSB with machine learning (unsupervised clustering) method that is Fuzzy C-Means (FCM). It is  Each image will be divided into eight clusters, then the biggest cluster pixel number  from the random block  will be chosen, has been proposed and the password has been used to more secure the system in hash function cryptography algorithm, it consist of  five  steps: The first step:   determine the even pixel and Classified Image ,The second step: Cryptography (password using Hash Function, The third step: convert secret message and secret image to the binary by use ACSII code ,The four step: Selected message or image to hide in cover image using LSB,  thefive Step :implementation system. The outcome of suggested system is obtained, efficiency, high security, robustness, transparency, and capacity. Through evaluate system uses PSNR, MSE, Entropy, and histogram.

Published
2021-09-24
How to Cite
Prof. Dr. Maisa’a Abid Ali Khodher, S. H. H. H. (2021). Data Hiding by Unsupervised Clustering Using Fuzzy C-Mean. Design Engineering, 14192-14210. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/4689
Section
Articles