A Variable Neighborhood Search-Based Method with Learning for Image Steganography

Author:

Boughaci Dalila,Douah Hanane

Publisher

Springer International Publishing

Reference18 articles.

1. Arjun, S., Negi, A., Kranthi, C., Keerthi, D.: An approach to adaptive steganography based on matrix embedding. In: TENCON 2007-2007 IEEE Region 10 Conference (University College of Engineering (A), Hyderabad) (2007)

2. Boughaci, D., Benhamou, B., Drias, H.: Local search methods for the optimal winner determination problem. J. Math. Model. Algorithms 9(2), 165–180. http://www.springerlink.com/content/hv637861870mx8j4/ (2010)

3. Boughaci, D., Kemouche, A., Lachibi, H.: Stochastic local search combined with LSB technique for image steganography. In: 2016 13th Learning and Technology Conference (L and T)

4. Cachin, C.: An Information-Theoretic Model for Steganography, Cryptology. ePrint Archive, Report 2000/028. www.zurich.ibm.com/˜cca/papers/stego.pdf (2002)

5. Das, S., Das, S., Bandyopadhyay, B., Sanyal, S.: Steganography and steganalysis: different approaches. Int. J. Comput. Inform. Technol. Eng. (IJCITAE) 2(1) (2008)

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1. Image Steganography;Multidisciplinary Approach to Modern Digital Steganography;2021

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