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Steganalysis and Game Equilibria
1998Steganography is the study of methods of concealing data in the noise of another data set. Steganalysis is the field of discovering hidden data and disrupting covert channels. We introduce a two-player, zero-sum, matrix game for the purpose of modeling the contest between a data-hider and a data-attacker.
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Is blind image steganalysis practical using feature-based classification?
Multimedia tools and applications, 2023Ahd Aljarf, Haneen Zamzami, A. Gutub
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Image steganalysis using deep learning: a systematic review and open research challenges
Journal of Ambient Intelligence and Humanized Computing, 2023Numrena Farooq, A. Selwal
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Rich Models for Steganalysis of Digital Images
IEEE Transactions on Information Forensics and Security, 2012J. Fridrich, Jan Kodovský
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Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2023
Ahd Aljarf, Haneen Zamzami, A. Gutub
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Ahd Aljarf, Haneen Zamzami, A. Gutub
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Steganography and Steganalysis
2006In the digital environment, steganography has increasingly received attention over the last decade. Steganography, which literally means “covered writing,” includes any process that conceals data or information within other data or conceals the fact that a message is being sent.
Merrill Warkentin +2 more
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The infinite race between steganography and steganalysis in images
Signal Processing, 2022Trivikram Muralidharan +2 more
exaly
Deep Learning Hierarchical Representations for Image Steganalysis
IEEE Transactions on Information Forensics and Security, 2017Jian Ye, J. Ni, Yang Yi
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Image steganalysis using deep learning models
Multimedia tools and applications, 2023A. Kuznetsov +4 more
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2011
This chapter discusses how to evaluate the effectiveness of steganalysis techniques. In the steganalysis literature, numerous different methods are used to measure detection accuracy, with different authors using incompatible benchmarks. Thus it is difficult to make a fair comparison of competing steganalysis methods.
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This chapter discusses how to evaluate the effectiveness of steganalysis techniques. In the steganalysis literature, numerous different methods are used to measure detection accuracy, with different authors using incompatible benchmarks. Thus it is difficult to make a fair comparison of competing steganalysis methods.
openaire +1 more source