Paper Info
Title
A Framework of Secured and Bio-Inspired Image Steganography Using Chaotic Encryption with Genetic Algorithm Optimization (CEGAO).
Abstract
The two key issues related to steganography techniques are, statistical undetectability and picture quality. Image steganography takes the advantage of limited power of Human Visual System (HVS). The proposed framework offers an approach of secure data hiding technique in digital images. Novel scheme, presented encrypts meaningful secret data using nonlinear dynamics (chaos theory) before embedding into host or cover image. A basic LSB embedding method is used for encrypting data into cover image. Genetic Algorithm based pixel adjustment process is used to reduce the difference of error between the host image and its stego version with low distortions. The results of proposed scheme are compared with other steganographic algorithm using Peak Signal to Noise Ratio (PSNR) and Structural Similarity (SSIM) index, color frequency test and StirMark analysis.
Year
DOI
Venue
2014
10.1007/978-3-319-08156-4_27
PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON INNOVATIONS IN BIO-INSPIRED COMPUTING AND APPLICATIONS (IBICA 2014)
Keywords
Field
DocType
Image Steganography,Spatial Domain,Dynamic System,Chaotic Maps,HVS,Steganalysis
Peak signal-to-noise ratio,Steganography,Steganography tools,Pattern recognition,Computer science,Image quality,Theoretical computer science,Digital image,Encryption,Artificial intelligence,Probabilistic encryption,Steganalysis
Conference
Volume
ISSN
Citations 
303
2194-5357
1
PageRank 
References 
Authors
0.34
3
6
Name
Order
Citations
PageRank
Debiprasad Bandyopadhyay110.68
Kousik Dasgupta211.36
J. K. Mandal3184.17
Paramartha Dutta410020.77
Varun Kumar Ojha5329.25
Václav Snasel61261210.53