DocumentCode
713002
Title
Ensemble of logistic maps with genetic algorithm for optimal pixel selection in image steganography
Author
Chandrasekaran, Jeyamala ; Arumugam, Girija ; Rajkumar, Deepthi
Author_Institution
Dept. of Inf. Technol., Thiagarajar Coll. of Eng., Madurai, India
fYear
2015
fDate
26-27 Feb. 2015
Firstpage
1172
Lastpage
1175
Abstract
Due to the explosive growth of internet technologies and its applications, steganography and steganalysis have become an prominent area of research. Least Significant Bit (LSB) substitution, a spatial domain steganographic technique involves replacement of the least significant bit of randomly selected pixels in the cover image with the secret message bit. The distortion in the cover image increases with the increasein size of the information to be hidden. The research focus of the problem is to optimize the pay load capacity subject to minimal visual degradation. The problem solution is to employ logistic maps for the random selection of pixels. The randomness of the pixels selected is further optimized by the application of genetic algorithm subjected to the minimal distortion of the cover image. Experimental results prove the robustness of the proposed algorithm in terms of improved payload capacity, minimal degradation in picture quality, high randomness in pixel selection and high security compliance.
Keywords
distortion; genetic algorithms; image coding; steganography; cover image distortion; genetic algorithm; image steganography; least significant bit substitution; logistic maps; minimal visual degradation; optimal pixel selection; pay load capacity optimization; pixel random selection; spatial domain steganographic technique; Degradation; Discrete wavelet transforms; Genetic algorithms; Logistics; Security; Visualization; Image Steganography; Information Hiding; Information Security; Logistic Maps and Genetic Algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics and Communication Systems (ICECS), 2015 2nd International Conference on
Conference_Location
Coimbatore
Print_ISBN
978-1-4799-7224-1
Type
conf
DOI
10.1109/ECS.2015.7124769
Filename
7124769
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