Results 171 to 180 of about 6,101 (212)

Eigenvalues-based LSB steganalysis.

ISC Int. J. Inf. Secur., 2012
So far, various components of image characteristics have been used for steganal- ysis, including the histogram characteristic function, adjacent colors distribu- tion, and sample pair analysis. However, some certain steganography methods have been proposed that can thwart some analysis approaches through man- aging the embedding patterns.
Farhat, F., Diyanat, A., Ghaemmaghami, Sh., Aref, M. R.   +3 more
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A LSB steganography detection algorithm

14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003., 2004
The spatial LSB steganography results in the alteration of the smooth characteristics between adjoining pixels of the raw image. The relation between the length of embedded message and the gradient energy is theoretically analyzed, and then a steganalysis and detection method, named gradient energy-flipping rate detection (GEFR) is proposed.
Zhi Li 0037, Ai Fen Sui, Yixian Yang
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Image steganography based on LSB substitution and encryption method: adaptive LSB+3

Journal of Electronic Imaging, 2019
The goals of image steganography are to simultaneously reach maximum embedding capacity, enhanced embedding efficiency, better image quality, and more security. We present a two-step data hiding method that improves image quality, capacity, and embedding efficiency, and also provides stego security.
Serdar Burak Solak, Umut Altinisik
openaire   +2 more sources

Lossless generalized-LSB data embedding

IEEE Transactions on Image Processing, 2005
We present a novel lossless (reversible) data-embedding technique, which enables the exact recovery of the original host signal upon extraction of the embedded information. A generalization of the well-known least significant bit (LSB) modification is proposed as the data-embedding method, which introduces additional operating points on the capacity ...
Mehmet Utku Celik, Gaurav Sharma 0001, A. Murat Tekalp, Eli Saber   +3 more
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The age of LSB discs

AIP Conference Proceedings, 1997
The UBVRI colors of LSB discs seem to indicate that these galaxies are older than 7 Gyr, and their that mean age is probably about 9 Gyr.
Paolo Padoan, Raul Jimenez, Vincenzo Antonuccio-Delogu   +2 more
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Resampling Operations as Features for Detecting LSB Replacement and LSB Matching in Color Images

2006
We show that changes to the color distribution statistics induced by resampling operations on color images present useful features for the detection and estimation of embeddings due to LSB steganography. The resampling operations considered in our study are typical operations like zoom-in, zoom-out, rotations and distortions.
Suresh, V, Sophia, Maria S, Madhavan, Veni CE   +2 more
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An Improved Algorithm Based on LSB

2017
LSB algorithm is a common image information hiding method. Based on Logistic chaotic sequence, an improved LSB algorithm is proposed. With the XOR operation to complete the encryption of embedded information. The simulation results show that the algorithm has good safety performance and can resist the pollution of salt and pepper noise. It is a kind of
Yali Luo, Xiulai Li, Chaofan Chen, Mingrui Chen   +3 more
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An Improved Steganalysis Method of LSB Matching

2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2008
In this paper, we propose an improved steganalysis algorithm to detect spatial domain least significant bit (LSB) matching steganography, which is much harder than the detection of LSB replacement. Firstly we propose run length based features, which are sensitive to LSB matching in spatial domain of images.
Xiaoyi Yu, Noboru Babaguchi
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Steganalysis of LSB encoding in color images

2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532), 2002
Analyzes the security of least significant bit (LSB) embedding for hiding messages in high-color-depth digital images. We introduce a powerful steganalytic technique that enables us to reliably detect the presence of a pseudorandom binary message randomly spread in a color image. We estimate the probability of both false detections and missing a secret
Jiri Fridrich, Rui Du, Meng Long
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LSB-Methode

2012
Thema der Dissertation ist die kabelgebundene 1D-Lokalisierung durch Messung von Distanzunterschieden mittels hochfrequenter Signale zur Festsetzung der Messauflösung und eines niederfrequenten Signals zur Messauswertung. Die Methode beruht auf der Überlagerung speziell parametrierter Schwebungen als Ausgangssignale.
openaire   +1 more source