A General Framework for Structural Steganalysis of LSB Replacement

نویسنده

  • Andrew D. Ker
چکیده

There are many detectors for simple Least Significant Bit (LSB) steganography in digital images, the most sensitive of which make use of structural or combinatorial properties of the LSB embedding method. We give a general framework for detection and length estimation of these hidden messages, which potentially makes use of all the combinatorial structure. The framework subsumes some previously known structural detectors and suggests novel, more powerful detection algorithms. After presenting the general framework we give a detailed study of one particular novel detector, with experimental evidence that it is more powerful than those previously known, in most cases substantially so. However there are some outstanding issues to be solved for the wider application of the general framework.

برای دانلود رایگان 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 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

Steganalysis of LSB Replacement Using Parity-Aware Features

Detection of LSB replacement in digital images has received quite a bit of attention in the past ten years. In particular, structural detectors together with variants of Weighted Stego-image (WS) analysis have materialized as the most accurate. In this paper, we show that further surprisingly significant improvement is possible with machine– learning based detectors utilizing co-occurrences of ...

متن کامل

Quantitative steganalysis using rich models

In this paper, we propose a regression framework for steganalysis of digital images that utilizes the recently proposed rich models – high-dimensional statistical image descriptors that have been shown to substantially improve classical (binary) steganalysis. Our proposed system is based on gradient boosting and utilizes a steganalysis-specific variant of regression trees as base learners. The ...

متن کامل

Fourth-order structural steganalysis and analysis of cover assumptions

We extend our previous work on structural steganalysis of LSB replacement in digital images, building detectors which analyse the effect of LSB operations on pixel groups as large as four. Some of the method previously applied to triplets of pixels carries over straightforwardly. However we discover new complexities in the specification of a cover image model, a key component of the detector. T...

متن کامل

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 کامل

ذخیره در منابع من


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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005