Resampling and the detection of LSB matching in color bitmaps

نویسنده

  • Andrew D. Ker
چکیده

We consider the problem of detecting the presence of hidden data in colour bitmap images. Like straightforward LSB Replacement, LSB Matching (which randomly increments or decrements cover pixels to embed the hidden data in the least significant bits) is attractive because it is extremely simple to implement. It has proved much harder to detect than LSB Replacement because it does not introduce the same asymmetries into the stego image. We expand our recently-developed techniques for the detection of LSB Matching in grayscale images into the full-colour case. Not everything goes through smoothly but the end result is much improved detection, especially for cover images which have been stored as JPEG files, even if subsequently resampled. Evaluation of steganalysis statistics is performed using a distributed steganalysis project. Because evaluation of reliability of detectors for LSB Matching is limited, we begin with a review of the previously-known detectors.

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

A Novel Technique for Steganography Method Based on Improved Genetic Algorithm Optimization in Spatial Domain

This paper devotes itself to the study of secret message delivery using cover image and introduces a novel steganographic technique based on genetic algorithm to find a near-optimum structure for the pair-wise least-significant-bit (LSB) matching scheme. A survey of the related literatures shows that the LSB matching method developed by Mielikainen, employs a binary function to reduce the numbe...

متن کامل

نهان‌کاوی در تصاویر JPEG بر مبنای دسته‌بندی ویژگی‌های آماری و تصمیم‌گیری دو مرحله‌ای

Abstract In this paper, we propose a comprehensive steganalysis scheme for JPEG images. In this method, the optimized features which can interpret high distinction between cover and stego images are extracted from images. These features have been selected after a careful study on modifications caused by different steganography algorithms on statistical characteristics of images. Furthermore, us...

متن کامل

I. Review of Lsb Image Steganography Techniques in Spatial Domain

(Markus Kahn, 1995) defines Steganography as art and science of communicating in a way which hides the existence of the communication. In contrast to cryptography, where the enemy is allowed to detect, intercept and modify messages without being able to violate certain security premises guaranteed by a cryptosystem, the goal of steganography is to hide messages inside other innocent messages in...

متن کامل

An Analysis of LSB Image Steganography Techniques in Spatial Domain

(Markus Kahn, 1995) defines Steganography as art and science of communicating in a way which hides the existence of the communication. In contrast to cryptography, where the enemy is allowed to detect, intercept and modify messages without being able to violate certain security premises guaranteed by a cryptosystem, the goal of steganography is to hide messages inside other innocent messages in...

متن کامل

پنهان‌شکنی تصویر براساس ویژگیهای ماتریس ‌هم‌وقوعی

In this paper two novel steganalysis methods is presented based on co-occurrence matrix of an image. It is shown that by using features extracted from this matrix, we can differentiate between cover and stego images. These features include energy, entropy, contrast, inverse difference moment, maximum probability and correlation. We use SVM classification for separation of cover and stego imag...

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 2005