Title :
Steganography in Image Segments Using Genetic Algorithm
Author :
Nosrati, Masoud ; Hanani, Ali ; Karimi, Ronak
Author_Institution :
Young Res. & Elite Club, Islamic Azad Univ., Kermanshah, Iran
Abstract :
This study offers a heuristic genetic algorithm based method for message hiding in a carrier image. This approach focuses on the "before embedding hiding techniques" by trying to find appropriate places in carrier image to embed the message with the least changes of bits. Due to it, segmentation is done in order to convert the LSBs and message strings to the sets of blocks for participation in genetic algorithm. After finding the right places, secret message blocks are embedded and a key file is created to make the message extraction available by providing the data addresses. Experimental results with the least changes in image histogram (by the policy of setting an appropriate amount for the length of block bits) show the efficiency of current method.
Keywords :
genetic algorithms; image segmentation; steganography; LSB; carrier image; heuristic genetic algorithm; image segments; message hiding; secret message blocks; steganography; Algorithm design and analysis; Genetic algorithms; Histograms; Image color analysis; Image segmentation; Media; Programming; Genetic Algorithm (GA); Steganography; data hiding; secure communication;
Conference_Titel :
Advanced Computing & Communication Technologies (ACCT), 2015 Fifth International Conference on
Conference_Location :
Haryana
Print_ISBN :
978-1-4799-8487-9
DOI :
10.1109/ACCT.2015.57