Results 11 to 20 of about 2,919 (122)
Towards robust steganalysis: binary classifiers and large, heterogeneous data [PDF]
The security of a steganography system is defined by our ability to detect it. It is of no surprise then that steganography and steganalysis both depend heavily on the accuracy and robustness of our detectors. This is especially true when real-world data
Lubenko, Ivans
core +1 more source
The ALASKA Steganalysis Challenge [PDF]
This paper presents ins and outs of the ALASKA challenge, a steganalysis challenge built to reflect the constraints of a forensic steganalyst. We motivate and explain the main differences w.r.t. the BOSS challenge (2010), specifically the use of a ranking metric prescribing high false positive rates, the analysis of a large diversity of different image
Rémi Cogranne +2 more
openaire +2 more sources
The increasing digitization offers new ways, possibilities and needs for a secure transmission of information. Steganography and its analysis constitute an essential part of IT-Security. In this work we show how methods of blind-steganalysis can be improved to work in non-blind scenarios.
Niklas Bunzel +2 more
openaire +3 more sources
Spatio-temporal Rich Model Based Video Steganalysis on Cross Sections of Motion Vector Planes [PDF]
A rich model based motion vector steganalysis benefiting from both temporal and spatial correlations of motion vectors is proposed in this work. The proposed steganalysis method has a substantially superior detection accuracy than the previous methods ...
Kurugollu, Fatih +5 more
core +1 more source
Steganalysis in resized images [PDF]
It is well known that the security of a given steganographic algorithm strongly depends on the statistical properties of the cover source. In this paper, we study how downsampling affects steganographic security. The secure payload no longer scales according to the square-root law because resizing changes the statistical properties of the cover source.
Jan Kodovský, Jessica J. Fridrich
openaire +2 more sources
Analysis review on linguistic steganalysis [PDF]
Steganography and steganalysis are essential topics for hiding information. Steganography is a technique of conceal secret messages by transmitting data through different domains. Its objective is to avoid discovery of secret messages.
Azizan Ismail +7 more
core +1 more source
DrLS: Distortion‐Resistant Lossless Steganography via Colour Depth Interpolation
ABSTRACT The lossless data steganography is to hide a certain amount of information into a container image. Previous lossless steganography methods fail to strike a balance between capacity, imperceptibility, accuracy, and robustness, commonly vulnerable to distortion on container images.
Youmin Xu +3 more
wiley +1 more source
Progressive Randomization for Steganalysis [PDF]
In this paper, we describe a new methodology to detect the presence of hidden digital content in the Least Significant Bits (LSB) of images. We introduce the Progressive Randomization (PR) technique that captures statistical artifacts inserted during the hiding process.
Anderson Rocha 0001, Siome Goldenstein
openaire +1 more source
The study uses rapidly prepared Cr NPs with controllable fluorescence, enabling co‐regulation of quenching and enhancement for dyes and DNA of differing structures. By assembling a CD63‐specific aptamer with Cr NPs, it creates a quantitative readout for CD63‐positive TDEs.
Meng Yao Wu +5 more
wiley +1 more source
AGFP: A Deep Attention‐Guided Framework for DWT‐Based Image Steganography
This paper introduces Attention‐Guided Feature Perturbation (AGFP), a novel framework that combines deep learning‐based attention mechanisms with Discrete Wavelet Transform (DWT) embedding for image steganography. By selectively embedding data in perceptually and statistically safe regions, AGFP achieves high imperceptibility, robustness against ...
Taner Cevik +5 more
wiley +1 more source

