Analysis of Information Hiding in Least Significant Bit for Image Based on Difference Histogram

2011 ◽  
Vol 271-273 ◽  
pp. 1120-1123
Author(s):  
Ya Luo ◽  
Yang Li
Keyword(s):  
Information Hiding ◽  
Least Significant Bit ◽  
Difference Histogram

The analysis technology of Information hiding is introduced. Through the analysis of examples of the different carriers embedded in the same format images and the same carriers embedded in different format images, difference histogram can be used to detect the information hiding in least significant bit. Then, the validity of forgoing method is shown by simulation.

Image and audio steganography based on indirect LSB

2021 ◽  
Vol 48 (4) ◽  
Author(s):  
Zainab N. Sultani ◽  
◽  
Ban N. Dhannoon ◽  
Keyword(s):  
Information Hiding ◽  
Experimental Results ◽  
Secret Message ◽  
Text File ◽  
Least Significant Bit ◽  
Audio Steganography

Hiding the presence of data during communication has become a pressing concern in this overly digitalized world as a consequence of illegitimate access. These concerns have led to cryptography and steganography techniques as methods for securing data. This paper presents a modified information hiding technique based on an indirect least significant bit. Instead of saving each bit of the secret message in the least significant bit (LSB) of the cover media, each bit of the secret message is compared to a mask bit in the cover media. The result is saved in the cover media’s LSB. In this paper, two steganography schemas are designed in which the cover media are image and audio, while the secret message is a text file. A simple encryption technique is used to transform the secret message into an unreadable format before the hiding process begins. The experimental results indicate that the proposed algorithm achieves promising performance

scholarly journals High Capacity Image Steganography Using Modified LSB Substitution and PVD against Pixel Difference Histogram Analysis

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Gandharba Swain
Keyword(s):  
Boundary Problem ◽  
High Capacity ◽  
Experimental Results ◽  
Least Significant Bit ◽  
Rs Analysis ◽  
Distortion Measure ◽  
Pixel Value ◽  
Pixel Value Differencing ◽  
Difference Histogram ◽  
Lsb Substitution

The combination of pixel value differencing (PVD) and least significant bit (LSB) substitution gives higher capacity and lesser distortion. However, there are three issues to be taken into account: (i) fall off boundary problem (FOBP), (ii) pixel difference histogram (PDH) analysis, and (iii) RS analysis. This paper proposes a steganography technique in two variants using combination of modified LSB substitution and PVD by taking care of these three issues. The first variant operates on 2 × 3 pixel blocks and the second technique operates on 3 × 3 pixel blocks. In one of the pixels of a block, embedding is performed using modified LSB substitution. Based on the new value of this pixel, difference values with other neighboring pixels are calculated. Using these differences, PVD approach is applied. The edges in multiple directions are exploited, so PDH analysis cannot detect this steganography. The LSB substitution is performed in only one pixel of the block, so RS analysis also cannot detect this steganography. To address the FOBP, suitable equations are used during embedding procedure. The experimental results such as bit rate and distortion measure are satisfactory.

scholarly journals HEVC Information Hiding Algorithm Based on Intra Prediction and Matrix Coding

2021 ◽  
Vol 13 (6) ◽  
pp. 0-0
Keyword(s):  
Information Hiding ◽  
High Efficiency ◽  
Great Influence ◽  
Intra Prediction ◽  
Bit Rate ◽  
Least Significant Bit ◽  
High Efficiency Video Coding ◽  
Prediction Mode ◽  
Objective Quality

Aiming at the problem that the data hiding algorithm of high efficiency video coding (HEVC) has great influence on the video bit rate and visual quality, an information hiding algorithm based on intra prediction mode and matrix coding is proposed. Firstly, 8 prediction modes are selected from 4×4 luminance blocks in I frame to embed the hidden information. Then, the Least Significant Bit (LSB) algorithm is used to modulate the LSB of the last prediction mode. Finally, the modulated luminance block is re-encoded to embed 4 bits secret information. Experimental results show that the algorithm improves the embedding capacity, guarantees the subjective and objective quality of the video, and the bit rate increases by 1.14% on average.

scholarly journals Information Hiding using Least Significant Bit Steganography and Blowfish Algorithm

2013 ◽  
Vol 63 (13) ◽  
pp. 24-28 ◽  
Author(s):  
Komal Patel ◽  
Sumit Utareja ◽  
Hitesh Gupta
Keyword(s):  
Information Hiding ◽  
Least Significant Bit

Statistical Feature–Based Steganalysis for Pixel-Value Differencing Steganography

2021 ◽  
Author(s):  
Wen-Bin Lin ◽  
Tai-Hung Lai ◽  
Ko-Chin Chang
Keyword(s):  
Least Significant Bit ◽  
Stego Image ◽  
Image Steganalysis ◽  
Detection Analysis ◽  
Suitable Parameter ◽  
Feature Based ◽  
Pixel Value ◽  
Pixel Value Differencing ◽  
Difference Histogram ◽  
Advance Knowledge

Abstract The security and embedding capacity of pixel-value differencing (PVD) steganography is superior to that of least significant bit replacement steganography. Several studies have proposed extended PVD steganography methods that use the original concept of PVD steganography. The majority of the studies have verified their security against regular-singular detection analysis or pixel difference histogram attacks. Weighted stego image steganalysis is the state-of-the-art technology for PVD steganography. This study proposed a suitable parameter for the estimator based on different relative embedding ratios and the size of normal embedding blocks. The experimental results revealed that the proposed technology does not require advance knowledge of the original image. In addition, the proposed method is accurate and precise at any embedding ratio. In the future, this method may be utilized to analyze the security of extended PVD steganography.

scholarly journals A New Reversible Date-Hiding Algorithm for Encrypted Images

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Laicheng Cao ◽  
Hao Zhou
Keyword(s):  
Prediction Model ◽  
Information Hiding ◽  
Reversible Watermarking ◽  
Encryption Scheme ◽  
Histogram Shifting ◽  
Embedding Capacity ◽  
Encrypted Image ◽  
Effective Combination ◽  
Encrypted Images ◽  
Difference Histogram

In order to effectively increase embedding capacity and completely extract the watermarking information in information hiding of encrypted images, a new reversible watermarking embedding algorithm based on rhombus prediction model and difference histogram shifting ideas is proposed. Firstly, the images are pretreated according to rhombus prediction model. Then, the watermarking information is embedded in encrypted images by effective combination of homomorphism encryption scheme and reversible watermarking techniques. Finally, the watermarking information is completely extracted and the images are recovered based on computed difference histogram from left to right and from top to bottom. So, the efficiency and reversibility are ensured when watermarking information is embedded in encrypted image. Experiment results show that the proposed algorithm is simple and easy to realize, the embedding capacity is effectively increased, watermarking information is completely reversible, and the image can be recovered with no distortion.

scholarly journals Digital Image Steganography Using Eight-Directional PVD against RS Analysis and PDH Analysis

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Gandharba Swain
Keyword(s):  
Least Significant Bit ◽  
Hiding Capacity ◽  
Central Pixel ◽  
Rs Analysis ◽  
Pixel Value ◽  
Pixel Value Differencing ◽  
Difference Histogram ◽  
Lsb Substitution

The least significant bit (LSB) substitution techniques are detected by RS analysis and the traditional pixel value differencing (PVD) approaches are detected by pixel difference histogram (PDH) analysis. The PVD steganography can escape from PDH analysis by using the edges in multiple directions. This paper proposes a steganography technique by exploiting the edges in eight directions and also using LSB substitution to resist from both RS analysis and PDH analysis. For every 3×3 pixel block the central pixel is embedded with 3 or 4 bits of data by modified LSB substitution technique. Then this new value of the central pixel is utilized to calculate eight difference values with eight neighboring pixels. These eight difference values are used to hide the data. There are two types with regard to two different range tables. Type 1 uses 3 bit modified LSB substitution and range table 1. Type 2 uses 4 bit modified LSB substitution and range table 2. Type 1 and type 2 are also known as variant 1 and variant 2, respectively. Type 1 possesses higher PSNR and type 2 possesses higher hiding capacity.

scholarly journals Information Hiding Using Least Significant Bit Steganography and Cryptography

2012 ◽  
Vol 4 (6) ◽  
pp. 27-34 ◽  
Author(s):  
Shailender Gupta,Ankur Goyal ◽  
Bharat Bhushan
Keyword(s):  
Information Hiding ◽  
Least Significant Bit

Smart Home Privacy Protection Based on the Improved LSB Information Hiding

2021 ◽  
pp. 2160005
Author(s):  
Lina Yang ◽  
Haiyu Deng ◽  
Ren Ping Liu ◽  
Patrick Wang ◽  
Xiaocui Dang ◽  
...  
Keyword(s):  
Information Hiding ◽  
Privacy Protection ◽  
Smart Home ◽  
Data Encryption ◽  
The Internet ◽  
Least Significant Bit ◽  
Secret Data ◽  
Secret Information ◽  
Protection Method ◽  
Using Data

Smart home is an emerging form of the Internet of Things (IoT), enabling people to enjoy a convenient and intelligent life. The data generated by smart home devices are transmitted through the public channel, which is not secure enough, so the secret data in smart home are easily intercepted by malicious adversaries. In order to solve this problem, this paper proposes a smart home privacy protection method combining DES encryption and the improved Least Significant Bit (LSB) information hiding algorithm, changing the practice of directly exposing smart home secret information to the Internet, first, using Data Encryption Standard (DES) encryption to encrypt the smart home information and second, the improved LSB information hiding algorithm is used to hide the ciphertext, so that the adversary cannot detect the smart home secret information. The goal of the scheme is to provide a double protection for the secure transmission of the smart home secret information. If an attacker wants to carry out an attack, it has to break through at least two defense lines, which seems impossible to do. Experiment results show that the improved LSB algorithm is more robust than the existing algorithms, and it is very safe. Therefore, the scheme proposed in this paper is very practical for protecting the smart home secret information.

scholarly journals Information Hiding Based on Audio Steganography using Least Significant Bit

2018 ◽  
Vol 7 (4.15) ◽  
pp. 536 ◽  
Author(s):  
Fatma Susilawati Mohamad ◽  
Nurul Sahira Mohd Yasin
Keyword(s):  
Information Hiding ◽  
Least Significant Bit ◽  
Sensitive Data ◽  
Text Data ◽  
Audio Steganography ◽  
Secret Information ◽  
Expected Result ◽  
Hide Data ◽  
Audio Sample

Steganography is the idea of hiding private or sensitive data or information within something that appears to be nothing out of the normal. A few problems arise especially in securing data and information when the information had been lost or stolen from unauthorized user. Traditionally, we give information manually using paper; it is possible that the information could be stolen by unauthorized user. The main objective of this study is to hide secret information in audio, so that other persons will not notice the presence of the information. The proposed method of this study is by using Least Significant Bit (LSB) algorithm to design an audio steganography. In the proposed method, each audio sample is converted into bits and then the text data is embedded. The expected result of this study will produce a steganography audio that will be able to hide data or information efficiently from unauthorized user, also to ensure the safety of the information in an authorized hand.  

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