Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Attacks on Steganographic Systems
IH '99 Proceedings of the Third International Workshop on Information Hiding
IHW '01 Proceedings of the 4th International Workshop on Information Hiding
Defending against statistical steganalysis
SSYM'01 Proceedings of the 10th conference on USENIX Security Symposium - Volume 10
A New Image Encryption Algorithm Based on Multiple Chaos System
ISECS '08 Proceedings of the 2008 International Symposium on Electronic Commerce and Security
Image Information Hiding Encryption Using Chaotic Sequence
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Genetic algorithm based methodology for breaking the steganalytic systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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We propose a novel steganographic method in JPEG images with high performance. Firstly, we propose improved adaptive LSB steganography, which can achieve high capacity while preserving the first-order statistics. Secondly, in order to minimize visual degradation of the stego image, we shuffle bits-order of the message based on chaos whose parameters are selected by the genetic algorithm. Shuffling message's bits-order provides us with a new way to improve the performance of steganography. Experimental results show that our method outperforms classical steganographic methods in image quality, while preserving characteristics of histogram and providing high capacity.