Results 191 to 200 of about 3,326 (205)
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Passive Steganalysis Evaluation: Reliabilities of Modern Quantitative Steganalysis Algorithms

2016
This paper presents initial results from experiments which perform statistically accurate evaluation of the reliability of modern quantitative statistical steganalysis algorithms. The focus here is on the algorithms for detection of simple LSB steganography in grayscale images. The following algorithms were evaluated: RS- analysis, Sample pair analysis,
A. G. Korobeynikov   +4 more
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Double Embedding Steganalysis

Proceedings of the 2nd International Workshop on Multimedia Privacy and Security, 2018
The rise of social networks during the last 10 years has created a situation in which up to 100 million new images and photographs are uploaded and shared by users every day. This environment poses a ideal background for those who wish to communicate covertly by the use of steganography.
Martin Steinebach   +3 more
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Benchmarking Steganalysis

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.
openaire   +1 more source

MP3 audio steganalysis

Information Sciences, 2013
MP3, one of the most widely used digital audio formats, provides a high compression ratio with faithful quality. The widespread use enables MP3 audio files to become excellent covers to carry hidden information in audio steganography on the Internet.
Andrew H. Sung   +2 more
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Statistical Steganalysis of Images

2019
Steganalysis is the study of detecting secret information hidden in objects such as images, videos, texts, time series and games via steganography. Among those objects, the image is the most widely used object to hide secret messages. Detection of possible secret information hidden in images has attracted a lot of attention over the past ten years ...
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Textural Features for Steganalysis

2013
It is observed that the co-occurrence matrix, one kind of textural features proposed by Haralick et al., has played a very critical role in steganalysis. On the other hand, the data hidden in the image texture area has been known difficult to detect for years, and the modern steganographic schemes tend to embed data into complicated texture area where ...
Licong Chen   +2 more
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System approach to steganalysis

SPIE Proceedings, 2011
Digital steganographic algorithms hide secret messages in seemingly innocent cover objects, such as images. Steganographic algorithms are rapidly evolving, reducing distortions, and making detection of altered cover objects by steganalysis algorithms more challenging.
Josef Allen   +3 more
openaire   +2 more sources

Steganalysis in computer forensics

2007
5th Australian Digital Forensics Conference, Edith Cowan University, Perth Western Australia, December 3rd 2007.
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A Unified Steganalysis Framework

2013
Abstract : Steganalysis research is mainly motivated to investigate the possible features that yields highest accuracy in identifying cover objects subjected to steganographic embedding. Although design of better steganalysis techniques is a crucial goal, given the diversity of steganography techniques and their ever-increasing sophistication, it is ...
openaire   +2 more sources

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