In this paper, we propose a novel steganalytic scheme based on local texture pattern (LTP)
to detect binary image steganography. We first assess how the expanded LTPs capture …

In recent years, binary image steganography has developed so rapidly that the research of
binary image steganalysis becomes more important for information security. In most state-of …

Most state-of-the-art binary image steganographic techniques only consider the flipping
distortion according to the human visual system, which will be not secure when they are …

Binary image stego systems have already been well developed, which raises the
requirement of a steganalytic method that detects these stego systems reliably. In this paper …

Utilizing statistical models of binary images is a common and effective means to steganalyze
binary images, and the design of the statistical model is essential to the performance of …

Traditional image steganalysis is conducted with respect to the entire image frame. In this
work, we differentiate a stego image from its cover image based on steganalysis of …

Some state-of-the-art binary image steganographic methods aim to generate stego images
with good visual quality, while others focus more on the statistical security of the anti …

Learning-based image steganalysis is an effective and universal approach to cope with the
following two difficulties: unknown statistics and steganographic algorithms. A crucial part of …

Most state-of-the-art binary image steganography methods depend on the content of the
image to determine where to embed secret messages, which is capacity-limited and …

For detecting the MBPIS (multiple bit-planes image steganography), which embeds the
messages into the multiple Gray code bit-planes, a steganalysis method is proposed to …