Results 41 to 50 of about 6,801,187 (249)
Image Steganalysis of Low Embedding Rate Based on the Attention Mechanism and Transfer Learning
Electronics, 2023 In recent years, some research results have been achieved in the field of image steganalysis. However, there are still problems of difficulty in extracting steganographic features from images with low embedding rates and unsatisfactory detection ...
Shouyue Liu +5 more
semanticscholar +1 more source
BitMix: data augmentation for image steganalysis [PDF]
Electronics Letters, 2020 Convolutional neural networks for image steganalysis demonstrate better performances with employing concepts from high‐level vision tasks. The major employed concept is to use data augmentation to avoid overfitting due to limited data. To augment data without damaging the message embedding, only rotating multiples of
I.‐J. Yu +3 more
openaire +2 more sources
A ROBUST STEGANALYSIS METHOD FOR DETECTING THE STEGANOGRAPHY IN IMAGES [PDF]
International Journal of Intelligent Computing and Information Sciences, 2017 Recently, steganography and steganalysis have been received an increasing attention due the nature of our modern societies which depends on exchanging information on a large scale. Steganography is the art of communication through sharing secret messages
M. Alkhalidi +2 more
doaj +1 more source
Detection of Classifier Inconsistencies in Image Steganalysis [PDF]
Proceedings of the ACM Workshop on Information Hiding and Multimedia Security, 2019 In this paper, a methodology to detect inconsistencies in classification-based image steganalysis is presented. The proposed approach uses two classifiers: the usual one, trained with a set formed by cover and stego images, and a second classifier trained with the set obtained after embedding additional random messages into the original training set ...
Daniel Lerch-Hostalot +1 more
openaire +3 more sources
Steganalysis of compressed speech to detect covert voice over Internet protocol channels [PDF]
, 2011 A network covert channel is a passage along which information leaks across the network in violation of security policy in a completely undetectable manner. This study reveals our findings in analysing the principle of G.723.1 codec that there are `unused'
Tang, S. +11 more
core +1 more source
Secure Cover Selection for Steganography
IEEE Access, 2019 Existing cover selection methods for steganography cannot resist pooled steganalysis. This paper proposes a secure cover selection method which is able to resist pooled steganalysis and single object steganalysis meanwhile. To resist pooled steganalysis,
Zichi Wang, Xinpeng Zhang
doaj +1 more source
A study on the false positive ratio of Stegdetect [PDF]
, 2013 In this paper we analyse Stegdetect, one of the well-known image steganalysis tools, to study its false positive rate. In doing so, we process more than 40,000 images randomly downloaded from the Internet using Google images, together with 25,000 images ...
Khalind, Omed S. +10 more
core +1 more source
A Novel Image Steganography Method via Deep Convolutional Generative Adversarial Networks
IEEE Access, 2018 The security of image steganography is an important basis for evaluating steganography algorithms. Steganography has recently made great progress in the long-term confrontation with steganalysis.
Donghui Hu +4 more
doaj +1 more source
Image Steganalysis with Binary Similarity Measures [PDF]
EURASIP Journal on Advances in Signal Processing, 2005 We present a novel technique for steganalysis of images that have been subjected to embedding by steganographic algorithms. The seventh and eighth bit planes in an image are used for the computation of several binary similarity measures. The basic idea is that the correlation between the bit planes as well as the binary texture characteristics within ...
Ismail Avcibas +3 more
openaire +3 more sources
Steganalysis of Image with Adaptively Parametric Activation
CoRR, 2022 Steganalysis as a method to detect whether image contains se-cret message, is a crucial study avoiding the imperils from abus-ing steganography. The point of steganalysis is to detect the weak embedding signals which is hardly learned by convolution-al layer and easily suppressed.
Hai Su +3 more
openaire +2 more sources