Title :
Improving Robustness against RS Steganalysis Using Particle Swarm Optimization
Author :
Karthikeyan, M. ; Kumar, V. Arun ; Janardhanam, S. ; Venkatalakshmi, K.
Author_Institution :
Dept. of ECE, Univ. Coll. of Eng., Tindivanam, India
Abstract :
In this work a PSO based algorithm has been proposed to improve the sturdiness against RS steganalysis. RS Steganalysis is commonly used method which detects the steg-message from the stego-image. A new method based on particle swarm optimization is proposed in this paper to improve the robustness of the stego image against RS steganalysis. The pixel values of the LSB steg-image are modified by the PSO algorithm to keep their statistic characters. This makes the RS Steg Analysis hard to detect the embedded message. The image quality is also maintained. The experimental results demonstrate the proposed algorithm provides improved secrecy against RS steganalysis compared with genetic algorithm based method.
Keywords :
genetic algorithms; image coding; particle swarm optimisation; steganography; LSB steg image; RS steganalysis; genetic algorithm; improved secrecy; particle swarm optimization; robustness improvement; steg message; stego image; Algorithm design and analysis; Art; Correlation; Genetic algorithms; Lakes; Particle swarm optimization; Visualization; RS algorithm; genetic algorithm; steganalysis; steganography;
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2011 International Conference on
Conference_Location :
Gwalior
Print_ISBN :
978-1-4577-2033-8
DOI :
10.1109/CICN.2011.95