Steganalysis of Random Lsb Insertion Using Discrete Logarithms Proposed at Cita03
نویسندگان
چکیده
In this paper, we present the steganalysis of a very recently proposed steganographic method, the random LSB insertion using discrete logarithms. We describe how the method is susceptible to detection, extraction and disabling attacks. This method is therefore insecure and should only be used for hiding information under non-critical situations.
منابع مشابه
Eigenvalues-based LSB steganalysis
So far, various components of image characteristics have been used for steganalysis, including the histogram characteristic function, adjacent colors distribution, and sample pair analysis. However, some certain steganography methods have been proposed that can thwart some analysis approaches through managing the embedding patterns. In this regard, the present paper is intended to introduce a n...
متن کاملSteganalysis Method for LSB Replacement Based on Local Gradient of Image Histogram
In this paper we present a new accurate steganalysis method for the LSBreplacement steganography. The suggested method is based on the changes that occur in thehistogram of an image after the embedding of data. Every pair of neighboring bins of ahistogram are either inter-related or unrelated depending on whether embedding of a bit ofdata in the image could affect both bins or not. We show that...
متن کاملAn Adaptive Image Steganographic Model Based on Minimum-Error LSB Replacement
Steganography is an ancient art of conveying message in a secret way that only the receiver knows the existence of message. Steganalysis is the art of detecting the message's existence and blockading the covert communication. The least-significant bit (LSB) insertion method, which uses fixed k LSBs in each pixel to embed secret message, is the most common and easy one to hide message in an imag...
متن کاملCategory Attack for LSB Steganalysis of JPEG Images
In this paper, we propose a new method for the detection of LSB embedding in JPEG images. We are motivated by a need to further research the idea of the chi-square attack. The newmethod simply use the first-order statistics of DCT coefficients, but is more powerful to detect the random embedding in JPEG images. For evaluation, we used versions of Jsteg and Jphide with randomized embedding path ...
متن کاملImage Steganalysis Based on Co-Occurrences of Integer Wavelet Coefficients
We present a steganalysis scheme for LSB matching steganography based on feature vectors extracted from integer wavelet transform (IWT). In integer wavelet decomposition of an image, the coefficients will be integer, so we can calculate co-occurrence matrix of them without rounding the coefficients. Before calculation of co-occurrence matrices, we clip some of the most significant bitplanes of ...
متن کامل