A New Steganography Technique Using Snake Scan Ordering Strategy

Kumar, Rajeev; Saini, Khushil Kumar; Chand, Satish

doi:10.5815/ijigsp.2013.06.04

Cited by 13 publications

(6 citation statements)

References 36 publications

(35 reference statements)

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“…The image can be manipulated in the transform domain (frequency domain) or spatial domain [9,28]. The spatial domain directly manipulates the pixel values of an image whereas the transform domain deals with the rate at which the values of the pixels are changing in the spatial domain.…”

Section: Image In Steganography and Steganalysismentioning

confidence: 99%

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2016

IJNSA

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Embedding a message in media files, also known as steganography, is a common approach to hide secret information. It has been exploited by some criminals to confidentially exchange messages. As a countermeasure, tools have been developed in order to detect hidden information form digital media such as text, image, audio or video files. However the efficiency and performance of previous approaches still have room for improvement. In this research, we focus on algorithm design for better efficiency of hidden message detection from PNG files. We employ three classic AI approaches including neural network, fuzzy logic, and genetic algorithm and evaluate their efficiency and performance in controlled experiments. Finally we introduce our message detection system for PNG files based on LSB approach and present its usability in different case scenarios.

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Section: Image In Steganography and Steganalysismentioning

confidence: 99%

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2016

IJNSA

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“…In image steganography, the cover media is the cover image and the stegomedia is the stegoimage. The images can be manipulated in either spatial domain or frequency domain and accordingly there are two main classes into which the steganography techniques may be divided [8].…”

Section: Steganography Cryptography Definitionmentioning

confidence: 99%

A Comprehensive Image Steganography Tool using LSB Scheme

El_Rahman¹

2015

IJIGSP

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Abstract-As a consequence of the fact, transmitting data has been fast and easy these days due to the development of the Internet. Where internet is the most important medium for confidential and non-confidential communications. Security is the major matter for these communications and steganography is the art of hiding and transmitting secret messages through carriers without being exposed. This paper presents a secured model for communication using image steganography. The main concern is to create a Java-based tool called IMStego that hides information in images using Least Significant Bit (LSB) algorithm (1-LSB) and modified Least Significant one Bit algorithm, i.e. Least Significant 2 Bits algorithm (2-LSB). IMStego is a more comprehensive security utility where it provides user-friendly functionality with interactive graphical user interface and integrated navigation capabilities. It provides the user with two operations, which are hiding secret data into images and extracting hidden data from images using 1-LSB or 2-LSB algorithm. IMStego tool hides secrete information in color static images with formats BMP and PNG.

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“…Tus, it fnds applications in the military, medical imaging, and diplomacy. Data hiding usually alters the values of pixels of cover images to conceal sensitive information so as to prevent its unauthorized peeking or damage [1,2]. In 1983, Simmons was arguably the frst to propose the idea of data hiding [3,4].…”

Section: Introductionmentioning

confidence: 99%

High Payload Lossless Steganography Using Image Interpolation

Sharma,

Malik,

Singh

et al. 2023

Security and Communication Networks

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Interpolation-based reversible data hiding (IRDH) is a method for embedding data in a reversible manner into digital images. It is based on the polynomial interpolation to hide the secret data bit stream in the coefficients of the interpolation polynomial. In this paper, an IRDH method that combines a modified neighbor mean interpolation is presented with a new method for reversibly embedding secret data in interpolated pixels. This method uses log base 2 of the decimal value of the interpolated pixel to replace a corresponding number of bits with the bits of the secret data, allowing for a higher bit stream to be embedded with better image quality. The results from experiments show that the introduced method can implant on average, 1300000 bits of secret data with an average PSNR of 28.5 dB, which is a significant improvement over existing and related works.

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A New Steganography Technique Using Snake Scan Ordering Strategy

Cited by 13 publications

References 36 publications

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A Comprehensive Image Steganography Tool using LSB Scheme

High Payload Lossless Steganography Using Image Interpolation

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