Secure Text Extraction From Complex Degraded Images by Applying Steganography and Deep Learning

2021 ◽  
pp. 146-163
Author(s):  
Binay Kumar Pandey ◽  
Deepak Mane ◽  
Vinay Kumar Kumar Nassa ◽  
Digvijay Pandey ◽  
Shawni Dutta ◽  
...  
Keyword(s):  
Text Message ◽  
Cover Image ◽  
Retrieval Algorithm ◽  
Receiver Side ◽  
Secret Key ◽  
Least Significant Bit ◽  
Public Network ◽  
Transmission Of Information ◽  
Two Stages ◽  
Degraded Images

This work's primary goal is to secure the transmission of text hidden within the cover image using steganography over a public network of computers. Steganography is a powerful tool for concealing information within a cover image so that the concealed message remains undetectable. As a result, steganography refers to concealed writing. The secure transmission of information over a public network communication channel using steganography occurs in two stages, the first on the sender side and the second on the receiver side. In the first phase, steganography is normally applied to conceal the encrypted information within the image as a cover. The encrypted data is implanted inside the cover image using an improved least significant bit steganography method. The secret key obtained by the embedding algorithm is shared with the message retrieval algorithm on the receiver side to retrieve the message. Finally, the embedded text message is identified using a hybrid convolution regression adaptive integrated neural network (CRAINN) approach.

scholarly journals Modified Lsb For Hiding Encrypted Kurdish Text Into Digital Image

2019 ◽  
Vol 7 (4) ◽  
pp. 254
Author(s):  
Nada E. Tawfiq
Keyword(s):  
Digital Image ◽  
Text Message ◽  
Cover Image ◽  
Second Phase ◽  
Original Image ◽  
Text File ◽  
Least Significant Bit ◽  
Text Information ◽  
Embedded Technique ◽  
Lsb Substitution

Image files can hide text without their size being affected too much. This process called steganography which allows hiding text in images without any suspicions from intruders. This paper addresses an improved LSB substitution algorithm for hiding Kurdish text information written in text file into digital image as steganography technique. The algorithm consists of two main phases, the first phase holds the encryption of the Kurdish text message and the embedded technique while the second phase hold the message extraction followed by decryption to get the original code of each character. The algorithm contains many procedures to enhance this process. Least Significant Bit method is used to hide the Kurdish text, in order to keep the features and characteristics of the original image. Applying the proposed approach shows that it seems work in a best case by hiding and retrieving text from the digital image which is used as a carrier of this text. Delphi 2010 was used to simulate both encrypt-embedded phase and extract-decrypt phase, and the results were obtained with high and security which proved the efficiency of the algorithm, where the hidden Kurdish text didn’t make any distortion or change over the cover image.

scholarly journals Steganography in Audio Using Wavelet and DES

2015 ◽  
Vol 12 (2) ◽  
pp. 431-436
Author(s):  
Baghdad Science Journal
Keyword(s):  
Frequency Domain ◽  
High Frequency ◽  
Text Message ◽  
Data Encryption ◽  
Secret Message ◽  
Least Significant Bit ◽  
Secret Data ◽  
Audio File ◽  
Using Data ◽  
Two Stages

In this paper, method of steganography in Audio is introduced for hiding secret data in audio media file (WAV). Hiding in audio becomes a challenging discipline, since the Human Auditory System is extremely sensitive. The proposed method is to embed the secret text message in frequency domain of audio file. The proposed method contained two stages: the first embedding phase and the second extraction phase. In embedding phase the audio file transformed from time domain to frequency domain using 1-level linear wavelet decomposition technique and only high frequency is used for hiding secreted message. The text message encrypted using Data Encryption Standard (DES) algorithm. Finally; the Least Significant bit (LSB) algorithm used to hide secret message in high frequency. The proposed approach tested in different sizes of audio file and showed the success of hiding according to (PSNR) equation.

An Improved Method for Combine (LSB and MSB) Based on Color Image RGB

2021 ◽  
Vol 39 (1B) ◽  
pp. 231-242
Author(s):  
Sally A. Mahdi ◽  
Maisa’a A. Khodher
Keyword(s):  
Color Image ◽  
Signal To Noise Ratio ◽  
Cover Image ◽  
Secret Message ◽  
Secret Key ◽  
Improved Method ◽  
Least Significant Bit ◽  
Stego Image ◽  
Novel Method ◽  
Measure Entropy

Image steganography is the art of hiding data into an image by using the secret key. This paper presents two techniques that combine the most significant bit (MSB) as well as the least significant bit (LSB) based on a color image (24bit for RGB). The presented study proposes a novel method to combine (LSB and MSB) bits based on check MSB values and replace bits from LSB with a secret message. The result of this proposed method that made not affect quality stego -image based on the resulting histogram that shows a match between the cover image and stego- image and more secure because not hidden in all image. The factors were used Mean Square Error (MSE), Compute Payload, in addition to Peak Signal to Noise Ratio (PSNR). The PSNR’s rate is high and MSE is less. The result of this paper when applying on the different image gives high PSNR of 87.141 and less MSE of 0.00012 when inserting message 80 bits and reduction value PSNR of 72.023 and MSE of 0.0040 when inserting message 1200 bits and measure entropy is the same value for cover image and stego –image then this method is more security for the attacker.

scholarly journals The use of Least Significant Bit (LSB) and Knight Tour Algorithm for image steganography of cover image

2019 ◽  
Vol 9 (6) ◽  
pp. 5218
Author(s):  
Soo Ann Nie ◽  
Ghazali Sulong ◽  
Rozniza Ali ◽  
Andrew Abel
Keyword(s):  
Cover Image ◽  
Secret Message ◽  
Discrete Wavelet ◽  
Receiver Side ◽  
Test Image ◽  
Least Significant Bit ◽  
Stego Image ◽  
Chi Square ◽  
The Common ◽  
Lsb Technique

<span lang="EN-US">Steganography is one of the method to communicate in a hidden way. In another word, steganography literally means the practice of hiding messages or information within another data. Previous studies have proposed various steganography techniques using different approaches including Least Significant Bit (LSB), Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT). However, different approaches still have its own weaknesses. Therefore image stenography using Knight Tour Algorithm with Least Significant Bit (LSB) technique is presented. The main objective is to improve the security factor in the stego image. Basically, the proposed technique is divided into two parts which are the sender and receiver side. Then, steganalysis which is a type of attack on stenography algorithm is used to detect the secret message in the cover image by the statistical analysis of pixel values. Chi Square Statistical Attach which is one of the type of steganalysis is used to detect these near-equal Po Vs in images and bases the probability of embedding on how close to equal the even pixel values and their corresponding odd pixel values are in the test image. The Knight Tour Algorithm is applied due to the common Least Significant Bit technique that is weak in security and easily decoded by outsider.</span>

scholarly journals System to Safeguard the Identity of Persons in Photographs through Cryptography and Steganography Techniques Using Chaos

2018 ◽  
Vol 2018 ◽  
pp. 1-16
Author(s):  
Octavio Flores Siordia ◽  
Juan Carlos Estrada Gutiérrez ◽  
Carlos Eduardo Padilla Leyferman ◽  
Jorge Aguilar Santiago ◽  
Maricela Jiménez Rodríguez
Keyword(s):  
High Sensitivity ◽  
Encryption Algorithm ◽  
Coding System ◽  
Secret Key ◽  
Least Significant Bit ◽  
Large Space ◽  
Plain Text ◽  
Chaotic Orbits ◽  
Diffusion Technique ◽  
Plain Image

Safeguarding the identity of people in photographs or videos published through social networks or television is of great importance to those who do not wish to be recognized. In this paper, a face detecting and coding system is designed with the goal of solving this problem. Mathematical models to generate chaotic orbits are deployed. One of them applies the diffusion technique to scramble the pixels of each face while another implements the confusion technique to alter the relation between plain text and ciphered text. Afterward, another two orbits are utilized for the steganography technique to modify the least significant bit (LSB) to conceal data that would allow authorized users to decipher the faces. To verify the robustness of the proposed encryption algorithm, different tests are performed with the Lena standard image, such as correlation diagrams, histograms, and entropy. In addition, occlusion, noise, and plain image attacks are performed. The results are compared with those of other works, and the proposed system provided high sensitivity at secret key and a large space for the encryption keys, good speed for ciphering, disorder in the cryptogram, security, data integrity, and robustness against different attacks.

Bernoulli's Chaotic Map-Based 2D ECG Image Steganography

2019 ◽  
pp. 208-241 ◽  
Author(s):  
Anukul Pandey ◽  
Barjinder Singh Saini ◽  
Butta Singh ◽  
Neetu Sood
Keyword(s):  
Signal Processing ◽  
Chaotic Map ◽  
Image Steganography ◽  
Cover Image ◽  
Ecg Signal ◽  
Mean Square ◽  
Secret Key ◽  
Mean Square Difference ◽  
Electrocardiogram Ecg ◽  
Ecg Steganography

Signal processing technology comprehends fundamental theory and implementations for processing data. The processed data is stored in different formats. The mechanism of electrocardiogram (ECG) steganography hides the secret information in the spatial or transformed domain. Patient information is embedded into the ECG signal without sacrificing the significant ECG signal quality. The chapter contributes to ECG steganography by investigating the Bernoulli's chaotic map for 2D ECG image steganography. The methodology adopted is 1) convert ECG signal into the 2D cover image, 2) the cover image is loaded to steganography encoder, and 3) secret key is shared with the steganography decoder. The proposed ECG steganography technique stores 1.5KB data inside ECG signal of 60 seconds at 360 samples/s, with percentage root mean square difference of less than 1%. This advanced 2D ECG steganography finds applications in real-world use which includes telemedicine or telecardiology.

Combining Digital Signature with Local Binary Pattern-Least Significant Bit Steganography Techniques for Securing Medical Images

2020 ◽  
Vol 10 (6) ◽  
pp. 1288-1293
Author(s):  
K. N. Madhusudhan ◽  
P. Sakthivel
Keyword(s):  
Digital Signature ◽  
Local Binary Pattern ◽  
Medical Images ◽  
Image Authentication ◽  
Reversible Watermarking ◽  
Cover Image ◽  
Least Significant Bit ◽  
New Approach ◽  
Different Types ◽  
Separate File

The image authentication is generally based on two different types of techniques: watermarking and digital signature. In watermarking methods, embedded watermarking is often imperceptible and it contains either a specific ID of producer or codes related to content that are used for authentication. Normally a separate file is stored, digital signature is a non-repudiation and encrypted version of the information extracted from the data. A digital signature can be attached to the data to prove the originality and integrity. The proposed work presents a new approach to steganography of medical images that uses modified Least Significant Bit (LSB) based on the Local Binary Pattern (LBP) pattern. As a first step, cover image has been divided as blocks of 3×3 non overlapping masks. Then, the pixel embedding position (clock wise or anti-clock wise) has to be identified using LBP operator. The value of the LBP operator determines how and where to embed secret image pixel. Later, using LSB method, pixel values will be embedded in the cover image pixel. In order to provide the integrity of the data, the proposed work also presents Reversible Watermarking (RW), a Digital Signature (DS) technique. The proposed algorithm of steganography experimented on few medical images and achieved better efficiency with respect to MSE and PSNR values and same is reported in this paper.

scholarly journals Application of Text Message Held in Image Using Combination of Least Significant Bit Method and One Time Pad

2019 ◽  
Vol 13 (4) ◽  
pp. 323
Author(s):  
Eferoni Ndruru ◽  
Taronisokhi Zebua
Keyword(s):  
Data Mining ◽  
Association Rules ◽  
Data Hiding ◽  
Text Message ◽  
Third Party ◽  
Least Significant Bit ◽  
Market Basket Analysis ◽  
Market Basket ◽  
Sales Data ◽  
The Third

Stenography and security are one of the techniques to develop art in securing data. Stenography has the most important aspect is the level of security in data hiding, which makes the third party unable to detect some information that has been secured. Usually used to hide textinformationThe (LSB) algorithm is one of the basic algorithms proposed by Arawak and Giant in 1994 to determine the frequent item set for Boolean association rules. A priory algorithm includes the type of association rules in data mining. The rule that states associations between attributes are often called affinity analysis or market basket analysis. OTP can be widely used in business. With the knowledge of text message, concealment techniques will make it easier for companies to know the number of frequencies of sales data, making it easier for companies to take an appropriate transaction action. The results of this study, hide the text message on the image (image) by using a combination of LSB and Otp methods.

scholarly journals ANALISA PERBANDINGAN LSB STEGANOGRAFI ANTARA SHIFTING DAN RANDOM COLOR

Repositor ◽  
2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Agus Eko Minarno
Keyword(s):  
Cover Image ◽  
Least Significant Bit ◽  
Secret Image

Steganografi merupakan teknik untuk menyembunyikan keberadaan data ke dalam data lain sehingga keberadaannya tidak diketahui. Sehingga selain pengirim dan penerima tidak ada yang mengetahui isi dari pesan tersebut dan tidak mudah untuk dicurigai. Beberapa algoritma yang cocok dengan teknik steganography, salah satunya yaitu algoritma LSB (Least Significant Bit). Algoritma LSB sendiri sudah dikembangkan oleh beberapa penelitian sebelumnya, yaitu menjadi algoritma LSB Random Color dan algoritma LSB Shifting. Dua algoritma tersebut merupakan algoritma yang terbaru dari algoritma LSB. Beberapa penelitian sebelumnya melakukan pengujian algoritma LSB random color dan algoritma LSB shifting dengan menggunakan data yang berbeda, dan hasil penelitian sebelumnya tidak melakukan perbandingan mana yang lebih baik dari dua algoritma tersebut. Dalam penelitian ini penulis membuat penelitian dengan judul analisa perbandingan LSB steganografi antara shifting dan random color. Pengujian diukur dengan menghitung nilai MSE dan PSNR pada file stegano image. Penelitian ini menggunakan 2 jenis file cover image yaitu berwarna dan hitam putih dengan jumlah masing-masing 3 file yang berbeda, dan menggunakan 1 file secret image yang sama. Sehingga diperoleh hasil perbandingan bahwasannya algoritma LSB random color memiliki performa lebih baik, meskipun mengunakan jenis file berwarna atau hitam putih

scholarly journals Hiding Data in Color Image Using Least Significant Bits of Blue Sector

2018 ◽  
Vol 31 (2) ◽  
pp. 193 ◽  
Author(s):  
Hussein L. Hussein
Keyword(s):  
Color Image ◽  
Cover Image ◽  
Secret Message ◽  
Mapping Technique ◽  
Least Significant Bit ◽  
Blue Sector ◽  
Powerful Technique ◽  
Secret Communication ◽  
Least Significant Bits

Concealing the existence of secret hidden message inside a cover object is known as steganography, which is a powerful technique. We can provide a secret communication between sender and receiver using Steganography. In this paper, the main goal is for hiding secret message into the pixels using Least Significant Bit (LSB) of blue sector of the cover image. Therefore, the objective is by mapping technique presenting a model for hiding text in an image. In the model for proposing the secret message, convert text to binary also the covering (image) is divided into its three original colors, Red, Green and Blue (RGB) , use the Blue sector convert it to binary,  hide two bits from the message in  two bits of the least significant bits of blue sector of the image.

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