DocumentCode :
3451641
Title :
A more secure steganography method based on pair-wise LSB matching via a quantum gravitational search algorithm
Author :
Soleimanpourmoghadam, Mohadeseh ; Nezamabadi-pour, Hossein ; Farsangi, Malihe M. ; Mahyabadi, Maryam
Author_Institution :
Electr. Eng. Dept., Shahid Bahonar Univ. of Kerman, Kerman, Iran
fYear :
2012
fDate :
2-3 May 2012
Abstract :
This paper presents a novel steganographic algorithm based on the spatial domain: Least Significant Bits (LSB). This approach improves the LSB matching method proposed by Mielikaien while Mielikaien´s method utilizes a binary function to reduce the number of changed pixel values. In proposed method, a two-score system is proposed to assess the performance of different orders for LSB matching. Afterward a quantum gravitational search algorithm is employed to search for an optimal solution among all the permutation orders. By employing the proposed method, the distortion of the stego image could be reduced while the probability of detection is decreased. The experimental results show that the proposed method achieves better performance than Mielikainen´s pair-wise LSB matching method in less distortion (means higher visual quality) and more preservation against steganalysis.
Keywords :
image matching; probability; search problems; steganography; Mielikainen pair-wise LSB matching method; binary function; least significant bits; optimal solution; quantum gravitational search algorithm; secure steganography method; spatial domain; steganographic algorithm; stego image distortion; two-score system; Matrix converters; PSNR; Programming; Signal processing algorithms; Streaming media; Transforms; Visualization; LSB matching; QGSA; information hiding; steganogeraphy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Signal Processing (AISP), 2012 16th CSI International Symposium on
Conference_Location :
Shiraz, Fars
Print_ISBN :
978-1-4673-1478-7
Type :
conf
DOI :
10.1109/AISP.2012.6313713
Filename :
6313713
Link To Document :
بازگشت