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

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

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.

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

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.  

scholarly journals Toward agent-based LSB image steganography system

2021 ◽  
Vol 30 (1) ◽  
pp. 903-919
Author(s):  
Fatmah Abdulrahman Baothman ◽  
Budoor Salem Edhah
Keyword(s):  
Information Hiding ◽  
Ensemble Classifier ◽  
Image Steganography ◽  
Agent Technology ◽  
Discrete Wavelet ◽  
Least Significant Bit ◽  
Agent Based ◽  
Secret Communication ◽  
Communication Environment ◽  
Sample Set

Abstract In a digital communication environment, information security is mandatory. Three essential parameters used in the design process of a steganography algorithm are Payload, security, and fidelity. However, several methods are implemented in information hiding, such as Least Significant Bit (LBS), Discrete Wavelet Transform, Masking, and Discrete Cosine Transform. The paper aims to investigate novel steganography techniques based on agent technology. It proposes a Framework of Steganography based on agent for secret communication using LSB. The most common image steganography databases are explored for training and testing. The methodology in this work is based on the statistical properties of the developed agent software using Matlab. The experiment design is based on six statistical feature measures, including Histogram, Mean, Standard deviation, Entropy, Variance and Energy. For steganography, an Ensemble classifier is used to test two scenarios: embedding a single language message and inserting bilingual messages. ROC Curve represents the evaluation metrics. The result shows that the designed agent-based system with 50% training/testing sample set and 0.2 Payload can pick out the best cover image for the provided hidden message size to avoid visual artifact.

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

2021 ◽  
Vol 13 (6) ◽  
pp. 1-15
Author(s):  
Yong Liu ◽  
Dawen Xu
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 A Novel Framework for Information Hiding and Image Encryption using Least Significant Bit Techniques

2014 ◽  
Vol 2 (3) ◽  
Author(s):  
H.B Kekre ◽  
Tanuja Sarode ◽  
Pallavi N. Halarnkar
Keyword(s):  
Image Encryption ◽  
Information Hiding ◽  
Least Significant Bit

scholarly journals Technique of Hiding Information in Image using Least Significant Bit

2018 ◽  
Author(s):  
Andysah Putera Utama Siahaan
Keyword(s):  
Data Security ◽  
Information Hiding ◽  
Color Image ◽  
Signal To Noise Ratio ◽  
Original Image ◽  
Least Significant Bit ◽  
Signal To Noise ◽  
Message Size ◽  
Average Value ◽  
Research Show

Information hiding is very important because a lot of data theft occurs which can result in significant losses. Data security can be done by hiding information into a media. This media can be in the form of images or sounds. There are several concealment techniques in the picture. In this study, we will discuss the hiding of information in a 24-bit color image which consits of 3 x 8-bit. The method used is Least Significant Bit (LSB). This method is used to insert messages into the 24-bit color image insertion media on every 1 of the most significant bits of each image color. The layers used are Red, Green, and Blue. This method has a small MSE and does not appear to differ if the image is seen directly with the eye. The results of the research show that MSE calculation is not so much different from the original image. Peak Signal to Noise ratio (PSNR) for each image inserted with the maximum message size can produce an average value above 40 dB. This LSB method is excellent to use to provide information in the form of images.

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