scholarly journals Proposed Algorithm Using Image in Multi Level Text Steganography

2020 ◽  
Vol 55 (1) ◽  
Author(s):  
Ghada Mohammad Tahir Kasim Aldabagh
Keyword(s):  
Signal To Noise Ratio ◽  
Personal Data ◽  
Video Image ◽  
Least Significant Bit ◽  
Text Steganography ◽  
Multi Level ◽  
Audio Video ◽  
Suitable Technique ◽  
Image Type ◽  
Embedded Process

The newly emerging technologies enable us to deliver and share the information in the form of multimedia. However, the major issue is security without disturbing the personal data. In such case, steganography can be used as a most suitable technique. Basically steganography is the art and technique of hiding important data which we want to send over a channel or transmission medium. The hiding of information is made with the carrier so the the hacking of data will be difficult. Generally, we have two choices to hide the data, i.e. image or video. For effectual and fortunate embedded process, it is very important to select correct pixel in a video image. These pixels are playing important role in storage of secret information. Here, we are focused on the text based steganography.Generally, there are various types of the steganography viztext, audio, video, image type, protocol type etc. Carrier plays an important role in the steganography. This carrier is also known as the cover. In this present study, we aim to evaluate the carrier on text steganography. We proposed an algorithm which is useful for the multi-level text steganography, which is more advantageous than the standard least significant bit algorithm. Two different tests were used to prove proposed algorithm and checked the time of implementation needed for both algorithm and Peak Signal to Noise Ratio to new image. MATLAB was used to implement algorithm, which was most useful computational language.

scholarly journals Proposed Hybrid Algorithm for Image Steganography in Text Security Using Fish Algorithm

2019 ◽  
Vol 54 (6) ◽  
Author(s):  
Ghada Mohammad Tahir Kasim Aldabagh
Keyword(s):  
Signal To Noise Ratio ◽  
Personal Data ◽  
Image Steganography ◽  
Security And Privacy ◽  
Basic Algorithm ◽  
Important Data ◽  
Suitable Alternative ◽  
Secure Data Transmission ◽  
Multi Level ◽  
High Level

The rapid growth of various technologies makes secure data transmission a very important issue. The cryptography technique is the most popular method in several security cases. The major issue is putting the security in place without disturbing the personal data. In such a case, steganography can be used as the most suitable alternative technique. Essentially, steganography is the art of hiding important data that we want to send over a channel or transmission medium. The hiding of information is made with the carrier, making the hacking of data difficult. Hiding the important data provides security and privacy at a high level. In general, there are five types of steganograph: text, audio, video, image and protocol. The carrier plays an important role in steganography. The selection of the carrier depends on the level of security. We proposed an algorithm which is useful for multi-level steganography, and is more advantageous than the standard, less significant, bit algorithm. In this paper, we used multi-level steganography. We focused on image steganography along with a fish algorithm in order to secure the text. We aimed to compare the performance of a basic algorithm to the proposed algorithm. The parameters which have been taken into consideration to compare these two algorithms are execution time and peak signal to noise ratio. We achieved the expected result which shows the applied security for the important data. We used MATLAB 10 software to get these results.

scholarly journals Testing of Image Steganography with use of LSB and DCT Techniques

2019 ◽  
Vol 8 (10) ◽  
pp. 3694-3697
Keyword(s):  
High Speed ◽  
Signal To Noise Ratio ◽  
Data Communication ◽  
Image Steganography ◽  
Digital Data ◽  
Data Detection ◽  
Least Significant Bit ◽  
Secret Data ◽  
Text Information ◽  
Audio Video

In this growing internet world, secret data communication is increasing day by day. There are various methods to communicate secretly. Steganography is one of those techniques in which data is concealed within cover data such that it cannot get detected. Steganography is usually used today on pcs where digital data is the high-speed distribution channels for carriers and networks. Steganography is the skill of understanding of unnoticeable activity at intervals. Steganalysis is the science of concealed data detection. Steganography of data which is of any form like images, audio, video or text information is done by various techniques. Image steganography is done by various technique. Least Significant Bit (LSB) with XORing and Discrete Cosine Transform (DCT) are used to test the image steganography. Images are converted to grey scale to get better accuracy. Results are tested with mean square error (MSE) and peak signal-to-noise ratio (PSNR) values.

scholarly journals Implementasi Steganografi Video dengan Menggunakan Metode Egypt, Least Significant Bit (LSB) dan Least Significant Bit (LSB) Fibonacci Edge Pixel

2020 ◽  
Vol 10 (1) ◽  
pp. 25
Author(s):  
Ranida Pradita ◽  
Ida Nurhaida
Keyword(s):  
Mean Square Error ◽  
Digital Image ◽  
Digital Video ◽  
3D Model ◽  
Signal To Noise Ratio ◽  
Mean Square ◽  
Least Significant Bit ◽  
Signal To Noise ◽  
Edge Pixel ◽  
Audio Video

Seiring dengan perkembangan teknologi 5G, penyebaran dengan menggunakan video semakin besar dan mudah. Penyebaran informasi baik yang tersembunyi atau tidak semakin mudah disebarluaskan dengan menggunakan internet. Steganografi adalah cara menyembunyikan informasi dalam image atau video. Steganografi berbentuk digital image, text, audio, video, 3D model, dan lain-lain. Media digital yang popularitasnya paling tinggi dalam penelitian algoritma steganografi dengan menggunakan media digital image. Tulisan ini menggunakan media digital video karna media penelitian sebelumnya menggunakan media digital image. Pada tulisan ini akan diulas dan dianalis tentang video steganografi dengan menggunakan metode Egypt, Least Significant Bit (LSB), dan Least Significant Bit (LSB) Fibonacci Edge Pixel. Analisis video steganografi ini bertujuan untuk mendeteksi video yang mengandung unsur pesan rahasia yang kemungkinan untuk pengintaian. Hasil Peak Signal-to-Noise Ratio (PSNR) yang didapat dari penelitian ini rata-rata 40.46 dB dan menghasilkan rata-rata presentase similarity 30.67 %. Rata-rata Mean Square Error (MSE) pada penelitian ini adalah sebesar 0.50657. Untuk metode yang paling optimal yang digunakan dalam video steganografi adalah dengan menggunakan Metode Egypt.

STEGANOGRAFI DENGAN MENGGUNAKAN METODE LSB DAN ALGORITMA HILL CIPHER

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Sherly Gina Supratman
Keyword(s):  
Digital Images ◽  
Text Messages ◽  
The Internet ◽  
Digital Imagery ◽  
Least Significant Bit ◽  
Hill Cipher ◽  
Secure Data ◽  
Audio Video ◽  
The Hill

AbstrakJaringan Komunikasi seperti Internet� merupakan jaringan yang tidak aman untuk mentransmisi data, seperti teks, audio,video dan citra digital. Salah satu cara untuk pengamanan data dapat dilakukan dengan menggunakan proses kriptografi dan �steganografi. Penggunaan ini dengan tujuan untuk merahasiakan pesan yang dikirim dan sekaligus menghindarkan pesan tersebut dari kecurigaan pihak lain yang tidak berkepentingan.Pesan yang digunakan dalam makalah ini adalah berupa text dengan menyisipkannya pada gambar. Pada proses kriptografi, pesan yang berupa text akan dienkrip dengan algoritma Hill Chiper, dan kemudian pesan yang telah dienkrip akan dilakukan proses steganografi pada citra digital� 8 bit dengan skala 0 � 255, dengan metode Least Significant Bit ( LSB ).�Kata kunci: Kriptografi, Hill Chiper, Steganografi, Least Significant Bit�AbstractCommunication Networks such as the Internet are unsafe networks for transmitting data, such as text, audio, video and digital imagery. One way to secure data can be done by using cryptography and steganography process. This use is for the purpose of concealing messages being transmitted and avoiding such messages from the suspicion by others who are not interested.The message used in this paper is text by inserting it in the image. In the cryptographic process, text messages will be encrypted with the Hill Chiper algorithm, and then the encrypted message will be steganographed on 8-bit digital images on a scale of 0-255, using the Least Significant Bit (LSB) method.�Keywords: Cryptography, Hill Chiper, Steganography, Least Significant Bit

Data hiding technique in steganography for information security using number theory

2018 ◽  
Vol 45 (6) ◽  
pp. 767-778 ◽  
Author(s):  
Amjad Rehman ◽  
Tanzila Saba ◽  
Toqeer Mahmood ◽  
Zahid Mehmood ◽  
Mohsin Shah ◽  
...  
Keyword(s):  
Number Theory ◽  
Data Transfer ◽  
Signal To Noise Ratio ◽  
Fibonacci Sequence ◽  
Critical Issue ◽  
Secret Data ◽  
Science And Art ◽  
Bit Planes ◽  
Audio Video ◽  
Salt And Pepper

In the current era, due to the widespread availability of the Internet, it is extremely easy for people to communicate and share multimedia contents with each other. However, at the same time, secure transfer of personal and copyrighted material has become a critical issue. Consequently, secure means of data transfer are the most urgent need of the time. Steganography is the science and art of protecting the secret data from an unauthorised access. The steganographic approaches conceal secret data into a cover file of type audio, video, text and/or image. The actual challenge in steganography is to achieve high robustness and capacity without bargaining on the imperceptibility of the cover file. In this article, an efficient steganography method is proposed for the transfer of secret data in digital images using number theory. For this purpose, the proposed method represents the cover image using the Fibonacci sequence. The representation of an image in the Fibonacci sequence allows increasing the bit planes from 8-bit to 12-bit planes. The experimental results of the proposed method in comparison with other existing steganographic methods exhibit that our method not only achieves high embedding of secret data but also gives high quality of stego images in terms of peak signal-to-noise ratio (PSNR). Furthermore, the robustness of the technique is also evaluated in the presence of salt and pepper noise attack on the cover images.

scholarly journals Traid-bit embedding process on Arabic text steganography method

2021 ◽  
Vol 10 (1) ◽  
pp. 493-500
Author(s):  
Roshidi Din ◽  
Reema Ahmed Thabit ◽  
Nur Izura Udzir ◽  
Sunariya Utama
Keyword(s):  
Intellectual Property ◽  
Continuous Improvement ◽  
High Capacity ◽  
Arabic Language ◽  
The Internet ◽  
Arabic Text ◽  
Art And Science ◽  
Text Steganography ◽  
Sharp Edges ◽  
Audio Video

The enormous development in the utilization of the Internet has driven by a continuous improvement in the region of security. The enhancement of the security embedded techniques is applied to save the intellectual property. There are numerous types of security mechanisms. Steganography is the art and science of concealing secret information inside a cover media such as image, audio, video and text, without drawing any suspicion to the eavesdropper. The text is ideal for steganography due to its ubiquity. There are many steganography embedded techniques used Arabic language to embed the hidden message in the cover text. Kashida, Shifting Point and Sharp-edges are the three Arabic steganography embedded techniques with high capacity. However, these three techniques have lack of performance to embed the hidden message into the cover text. This paper present about traid-bit method by integrating these three Arabic text steganography embedded techniques. It is an effective way to evaluate many embedded techniques at the same time, and introduced one solution for various cases.

An Improved ECG Steganography Using Integer Wavelet Transform and Offset Coefficient with LSB Substitution

2021 ◽  
Author(s):  
Ching-Yu Yang ◽  
Wen-Fong Wang
Keyword(s):  
Wavelet Transform ◽  
Personal Information ◽  
Signal To Noise Ratio ◽  
Computation Time ◽  
Integer Wavelet Transform ◽  
Wearable Electronics ◽  
Least Significant Bit ◽  
Hiding Capacity ◽  
Offset Coefficient ◽  
Integer Wavelet

Abstract In this work, we present an improved steganography for electrocardiogram (ECG) hosts to solve the issues of existing ECG steganographic methods, which have less hiding capacity and insufficient signal-to-noise ratio (SNR)/ peak SNR (PSNR). Based on the integer wavelet transform (IWT) domain, sensitive (or private) data such as patients’ data and personal information can be efficiently embedded in an ECG host via the IWT coefficient adjustment and the least significant bit (LSB) technique. Simulations confirmed that the SNR/ PSNR, and payload of the proposed method outperform those of existing techniques. In addition, the proposed method is capable of resisting attacks, such as cropping, Gaussian noise-addition inversion, scaling, translation, and truncation attacks from third parties (or adversaries). Due to the fast computation time, the proposed method can be employed in portable biometric devices or wearable electronics.

Defending Multimedia Content Embedded in Online Social Networks (OSNs) Using Digital Watermarking

2020 ◽  
pp. 90-113
Author(s):  
Brij B. Gupta ◽  
Somya Rajan Sahoo ◽  
Prashant Chugh ◽  
Vijay Iota ◽  
Anupam Shukla
Keyword(s):  
Digital Watermarking ◽  
Copyright Protection ◽  
Online Social Networks ◽  
Internet Usage ◽  
Multimedia Content ◽  
Least Significant Bit ◽  
Text Documents ◽  
Bit Plane ◽  
Embedded Process ◽  
The Web

In global internet usage, increasing multimedia message, which includes video, audio, images, and text documents, on the web raised a lot of consequences related to copyright. For copyright protection, authentication purpose and forgery detection digital watermarking is the robust way in social network content protection. In this technique, the privacy information is embedded inside the multimedia content like image and video. The protected content embedded inside multimedia content is called watermark-enabled information. To make more effective the process of watermarking, the content encrypted before embedding to the image. Basically, the digital watermarking embedded process implemented in two different domains called spatial and frequency domain. In spatial domain digital watermarking, the watermark information is embedded in the least significant bit of the original image on the basis of bit plane selected and on the basis of the pixels of image, embedding, and detection is performed.

scholarly journals Analysis of Least Significant Bit Method Using Sequential Encoding-Decoding in Steganography Digital Image

2020 ◽  
Vol 3 ◽  
pp. 201-205
Author(s):  
Nurmi Hidayasari ◽  
Febi Yanto
Keyword(s):  
Image Quality ◽  
Signal To Noise Ratio ◽  
Maximum Size ◽  
Least Significant Bit ◽  
Relevant Research ◽  
Stego Image ◽  
Check Size ◽  
Image Histogram ◽  
Hide Data ◽  
Histogram Testing

The method of steganography commonly used to hide data or information is Least Significant Bit (LSB) method. One of the relevant research is LSB using sequential Encoding - Decoding by David Pipkorn and Preston Weisbrot. In this research, an analysis of the LSB method using Sequential Encoding - Decoding by doing some testing. The tests are on the aspect of message security using tools StegSpy and enhanced LSB algorithm, testing on image quality by calculating the Peak Signal to Noise Ratio (PSNR) value and see the image histogram, testing on robustness of message by doing some image processing operations on stego image, like cropping, rotating, and etc, and then testing on capacity to check size of cover image and stego image and calculates the maximum size of data that can be hidden. From the testing process, we know that there are deficiencies in the aspects of security, robustness and capacity of a message. And then in this research we try to change the location of messages that are hidden in the image bits, which previous research used the 8th bit of each bytes, changed to the 7th bit. To be able to correct deficiencies in the security aspect. After repairing and testing like before, obtained better results in the security aspect. This can be seen from the image of the enhanced LSB algorithm process, the message is not detected, but unfortunately the image quality is reduced, with the low PSNR value generated.

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