Steganalysis of Very Low Embedded JPEG Image in Spatial and Transform Domain Steganographic Scheme Using SVM-Reference-Cited by-同舟云学术

Steganalysis of Very Low Embedded JPEG Image in Spatial and Transform Domain Steganographic Scheme Using SVM

Published:2020 Issue: Volume: Page:405-412
ISSN:2367-3370
Container-title:Innovations in Computer Science and Engineering
language:
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Author:

Shankar Deepa D.,Upadhyay Prabhat Kumar

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-2043-3_45

Reference16 articles.

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2. Nagaraj V, Zayaraz G, Vijayalakshmi V (2011) Modulo based image steganography technique against statistical and histogram analysis. Netw Secur Cryptogr 34–39

3. Christaline JA, Ramesh R, Vaishali D (2014) Steganalysis with classifier combinations

4. Guttikonda JB, Sridevi R (2019) A new steganalysis approach with an efficient feature selection and classification algorithms for identifying the stego images. Multimed Tools Appl 1–19

5. Attaby AA, Alsammak AK, Mursi Ahmed MFM (2018) Data hiding inside JPEG images with high resistance to steganalysis using a novel technique: DCT-M3. Ain Shams Eng J 9(4)

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