Quantitative evaluation of pairs and RS steganalysis

نویسنده

  • Andrew D. Ker
چکیده

We give initial results from a new project which performs statistically accurate evaluation of the reliability of image steganalysis algorithms. The focus here is on the Pairs and RS methods, for detection of simple LSB steganography in grayscale bitmaps, due to Fridrich et al. Using libraries totalling around 30,000 images we have measured the performance of these methods and suggest changes which lead to significant improvements. Particular results from the project presented here include notes on the distribution of the RS statistic, the relative merits of different “masks” used in the RS algorithm, the effect on reliability when previously compressed cover images are used, and the effect of repeating steganalysis on the transposed image. We also discuss improvements to the Pairs algorithm, restricting it to spatially close pairs of pixels, which leads to a substantial performance improvement, even to the extent of surpassing the RS statistic which was previously thought superior for grayscale images. We also describe some of the questions for a general methodology of evaluation of steganalysis, and potential pitfalls caused by the differences between uncompressed, compressed, and resampled cover images.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Steganalysis of embedding in difference of image pixel pairs by neural network

In this paper a steganalysis method is proposed for pixel value differencing method. This steganographic method, which has been immune against conventional attacks, performs the embedding in the difference of the values of pixel pairs. Therefore, the histogram of the differences of an embedded image is di_erent as compared with a cover image. A number of characteristics are identified in the di...

متن کامل

Steganalysis 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 کامل

A Lsb Steganography Approach against Pixels Sample Pairs Steganalysis

Through dynamic compensation of pixel values of the LSB (Least Significant Bit) embedded image, this paper presents a novel LSB information hiding method against pixels Sample Pairs Steganalysis (SPA), a powerful steganalysis method proposed by Dumitrescu et al. with high precision. This approach embeds messages in the LSB plane of the carrier image randomly via a chaotic system, then makes a d...

متن کامل

Locally most-powerful detector for secret key estimation in spread spectrum image steganography

Kernel Fisher discriminant for steganalysis of JPEG hiding methods p. 13 On estimation of secret message length in LSB steganography in spatial domain p. 23 Steganalysis using color wavelet statistics and one-class support vector machines p. 35 Steganalysis using modified pixel comparison and complexity measure p. 46 Performance evaluation of blind steganalysis classifiers p. 58 Searching for t...

متن کامل

Higher-order statistical steganalysis of palette images

In this paper, we describe a new higher-order steganalytic method called Pairs Analysis for detection of secret messages embedded in digital images. Although the approach is in principle applicable to many different steganographic methods as well as image formats, it is ideally suited to 8-bit images, such as GIF images, where message bits are embedded in LSBs of indices to an ordered palette. ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004