scholarly journals Penyembunyian Pesan Rahasia Pada Citra Digital Dengan Teknik Steganograpi Menggunakan Metode Least Significant Bit

Respati ◽  
2018 ◽  
Vol 13 (3) ◽  
Author(s):  
Achmad Ardiansyah ◽  
Mepa Kurniasih
Keyword(s):  
Digital Image ◽  
Secret Message ◽  
Digital Imagery ◽  
Pixel Size ◽  
Least Significant Bit ◽  
Stego Image ◽  
Processing Data ◽  
Confidential Data ◽  
Text Images ◽  
Insertion Process

INTISARI Pesan merupakan hasil dari pengolahan data menjadi bentuk yang lebih berguna bagi yang menerimanya yang menggambarkan suatu fakta yang digunakan sebagai alat bantu untuk pengambilan suatu keputusan. Sangat pentingnya isi pesan yang menyebabkan pesan hanya boleh diakses oleh orang-orang tertentu. Pesan yang merupakan aset bernilai seharusnya dilindungi agar aman. Steganografi adalah seni dan ilmu menulis pesan tersembunyi atau menyembunyikan pesan dengan suatu cara sehingga selain si pengirim dan si penerima, tidak ada seorangpun yang mengetahui atau menyadari bahwa ada suatu pesan rahasia. Pesan yang dapat disembunyikan berupa teks, gambar, suara, dan video.Melindungi pesan yang dirahasiakan dari orang yang tidak berhak salah satunya adalah teknik steganografi yang dapat menyembunyikan data rahasia. Teknik steganografi menggunakan metode Least Significant Bit (LSB) untuk memodifikasi bit-bit yang termasuk bit LSB pada setiap byte warna pada sebuah pixel citra digital. Bit-bit LSB ini akan dimodifikasi dengan menggantikan setiap LSB yang ada dengan bit-bit informasi lain yang ingin disembunyikan. Dengan adanya citra digital kita bisa memanfaatkan utuk menyisipkan pesan pada citra digital tersebut. Hasil penelitian menunjukkan bahwa semakin besar ukuran pixel citra dan jumlah karakter, maka akan semakin lama proses penyisipan dan ekstraksinya. Dengan stego-image yang diperoleh secara citra digital memiliki tampilan hampir sama sehingga tidak terlihat oleh sistem penglihatan manusia.Kata Kunc – Citra Digital, Least Significant Bit (LSB),  Steganografi , Pesan ABSTRACTMessage is the result of processing data into a form that is more useful for those who receive it which describes a fact that is used as a tool for making a decision. The importance of the contents of messages causes messages to only be accessed by certain people. Messages that are valuable assets should be protected to be safe. Steganography is the art and science of writing hidden messages or hiding messages in a way so that in addition to the sender and the recipient, no one knows or realizes that there is a secret message. Messages that can be hidden are in the form of text, images, sounds, and videos.Protecting confidential messages from unauthorized people is one of the Steganography Techniques that can hide confidential data. The steganography technique uses the LSB (Least Significant Bit) method to modify the bits including the LSB bit on each color byte in a digital image pixel. These LSB bits will be modified by replacing each existing LSB with other bits of information that you want to hide. With the presence of digital images we can use to insert messages in the digital image. The results of the study show that the larger the pixel size of the image and the number of characters, the longer the insertion process and its extraction will be. With stego-image obtained by digital imagery it has almost the same appearance so it is not visible to the human visual system.Keywords — Digital Image, Least Significant Bit (LSB), Steganography, Message

scholarly journals Peningkatan Keamanan Pengiriman Pesan Teks: Kombinasi Advanced Encryption Standard (AES) 128 dan Least Significant Bit (LSB)

2020 ◽  
Vol 6 (2) ◽  
pp. 111-120
Author(s):  
Yulia Fatma ◽  
Afdhil Hafid ◽  
Heru Oktavian Dani
Keyword(s):  
Text Messages ◽  
Cover Image ◽  
Secret Message ◽  
Advanced Encryption Standard ◽  
Least Significant Bit ◽  
Stego Image ◽  
Important Thing ◽  
Insertion Process

Confidentiality in transfer the messages is an important thing to maintain. Increased security in transfer the messages can be improved using cryptography and steganography. This article aims to apply a combination of AES 128 cryptography and LSB steganography in an application, and measures the quality of the stego-image. In this article, the AES 128 algorithm is used for the encryption process of secret messages and the LSB algorithm for the process of inserting secret messages in the cover image. PSNR is used to measure the quality of the stego-image, by comparing the cover image and the stego-image. This research produces an application that can be used for the security of sending text messages by combining the AES 128 algorithm in the plaintext encryption and the LSB algorithm in the secret message insertion process. In term of measuring the quality of the stego-image, it was found that the character length of the secret message would have an impact on the MSE and PSNR values. This means, the longer the character of the secret message will affect the quality of the stego-image.

scholarly journals Crypto-Steganographic Method to Protect Secret Messages

2021 ◽  
Vol 10 (12) ◽  
pp. 46-61
Author(s):  
Mohamad Tariq Barakat ◽  
Rushdi Abu Zneit ◽  
Ziad A. Alqadi
Keyword(s):  
Digital Image ◽  
Color Image ◽  
Color Images ◽  
Secret Message ◽  
Security Level ◽  
Least Significant Bit ◽  
Simple Method ◽  
Private Key ◽  
Message Length ◽  
Digital Color Images

Multiple methods are used to hide secret messages in digital color images, and the most important and most common is the least significant bit (LSB) method. The LSB method is a known and exposed method, and anyone with programming experience can retrieve the secret message embedded in the digital image. In this paper research we will add some enhancements to improve the security level of LSB method to protect the embedded secret message from being hacked. A simple method of secret message cryptography will be used to encrypt the secret message before bedding it using LSB method. The method will be based on using color image as an image_key; this image_key will be resized to generate the needed secret private key used to encrypt-decrypt secret message. The length and the contents of the generated private key will dynamically change depending on the message length and the selected image_key. The selected image_key will be kept in secret without transmission and will be known only by the sender and receiver and it can be changed any time when needed. The proposed crypto_steganographic method will be implemented to show how it will increase the level o secret message protection.

scholarly journals Hungarian-Puzzled Text with Dynamic Quadratic Embedding Steganography

2017 ◽  
Vol 7 (2) ◽  
pp. 799
Author(s):  
Ebrahim Alrashed ◽  
Suood Suood Alroomi
Keyword(s):  
Exponential Growth ◽  
Assignment Problem ◽  
Ease Of Use ◽  
Secret Message ◽  
Least Significant Bit ◽  
Digital Medium ◽  
Stego Image ◽  
High Quality ◽  
Hungarian Algorithm ◽  
Embedding Technique

Least-Significant-Bit (LSB) is one of the popular and frequently used steganography techniques to hide a secret message in a digital medium. Its popularity is due to its simplicity in implementation and ease of use. However, such simplicity comes with vulnerabilities. An embedded secret message using the traditional LSB insertion is easily decodable when the stego image is suspected to be hiding a secret message.  In this paper, we propose a novel secure and high quality LSB embedding technique. The security of the embedded payload is employed through introducing a novel quadratic embedding sequence. The embedding technique is also text dependent and has non-bounded inputs, making the possibilities of decoding infinite. Due to the exponential growth of and quadratic embedding, a novel cyclic technique is also introduced for the sequence that goes beyond the limits of the cover medium. The proposed method also aims to reduce the noise arising from embedding the secret message by reducing bits changed. This is done by partitioning the cover medium and the secret message into N partitions and artificially creating an assignment problem based on bit change criteria. The assignment problem will be solved using the Hungarian algorithm that will puzzle the secret message partition for an overall least bit change.

scholarly journals Least Significant Braille Method in Steganography Using Digital Image Media For Security Message

2017 ◽  
Vol 6 (1) ◽  
pp. 15-20
Author(s):  
Megah Mulya ◽  
Zikry Sugiwa
Keyword(s):  
Digital Image ◽  
Signal To Noise Ratio ◽  
Human Vision ◽  
Secret Message ◽  
Signal To Noise ◽  
Stego Image ◽  
Resistance Level ◽  
Noise Ratio

Confidentiality of the message or the information is the most important and essential.  It is very influential on the party who has the valuable message when they want to exchange messages on others.  To keep the message is not known to others, the necessary security on the message.  Steganography is one technique for providing security to the message.  Steganography is a technique to hide messages in a medium, such as pictures, sounds and video.  Steganographic technique used in this study is the Least Significant Braille (LSBraille).  This technique makes use of human vision in the message on the bit value was not significant.  This study focuses on how much resistance level stego image to various image processes and measure results accuracy Peak Signal to Noise Ratio (PSNR).  From the result of the insertion of a secret message, that the level of resistance stego image is not resistant to digital image processing.  The result of the calculation of PSNR value obtained from experiments on all data samples between 51-73 db.

scholarly journals Deep Convolutional Neural Network based Image Steganogrpahy Technique for Audio-Image Hiding Algorithm

2020 ◽  
Vol 9 (4) ◽  
pp. 2187-2189
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Digital Image ◽  
Digital Audio ◽  
Least Significant Bit ◽  
Stego Image ◽  
Vast Number ◽  
Learning Techniques ◽  
Network Concept ◽  
Audio Files

Steganography is one expanding filed in the area of Data Security. Steganography has attractive number of application from a vast number of researchers. The most existing technique in steganogarphy is Least Significant Bit (LSB) encoding. Now a day there has been so many new approaches employing with different techniques like deep learning. Those techniques are used to address the problems of steganography. Now a day’s many of the exisiting algorithms are based on the image to data, image to image steganography. In this paper we hide secret audio into the digital image with the help of deep learning techniques. We use a joint deep neural network concept it consist of two sub models. The first model is responsible for hiding digital audio into a digital image. The second model is responsible for returning a digital audio from the stego image. Various vast experiments are conducted with a set of 24K images and also for various sizes of images. From the experiments it can be seen proposed method is performing more effective than the existing methods. The proposed method also concentrates the integrity of the digital image and audio files.

scholarly journals A Hybrid Method for Payload Enhancement in Image Steganography Based on Edge Area Detection

2021 ◽  
Vol 21 (3) ◽  
pp. 97-107
Author(s):  
Nadia A. Mohsin ◽  
Huda A. Alameen
Keyword(s):  
Hybrid Method ◽  
Binary Operation ◽  
Secret Message ◽  
Embedding Capacity ◽  
Least Significant Bit ◽  
Stego Image ◽  
New Approach ◽  
Detection Techniques ◽  
Prewitt Edge Detection

Abstract In this research a new method for increasing the embedding capacity in images based on the edge area is proposed. The new approach combines Canny and Prewitt edge detection techniques using OR binary operation. The secret message is concealed using the Least Significant Bit (LSB) method. Embedding capacity, PSNR, SSIM, and MSE values are used as evaluation metrics. Based on the resulted values, the proposed method showed higher embedding capacity while keeping the PSNR, SSIM, MSE values without major changes of other methods which means keeping the imperceptibility quality of the stego image.

scholarly journals Dynamic Steganography Least Significant Bit with Stretch on Pixels Neighborhood

2020 ◽  
Vol 6 (2) ◽  
pp. 151
Author(s):  
Muhammad Khoiruddin Harahap ◽  
Nurul Khairina
Keyword(s):  
Similarity Index ◽  
Secret Message ◽  
Test Results ◽  
Original Image ◽  
Image Size ◽  
Least Significant Bit ◽  
Stego Image ◽  
Size Change ◽  
Structure Similarity Index ◽  
Image Pixels

Background: The confidentiality of a message may at times be compromised. Steganography can hide such a message in certain media. Steganographic media such as digital images have many pixels that can accommodate secret messages. However, the length of secret messages may not match with the number of image pixels so the messages cannot be inserted into the digital images.Objective: This research aims to see the dynamics between an image size and a secret message’s length in order to prevent out of range messages entered in an image.Methods: This research will combine the Least Significant Bit (LSB) method and the Stretch technique in hiding secret messages. The LSB method uses the 8th bit to hide secret messages. The Stretch technique dynamically enlarges the image size according to the length of the secret messages. Images will be enlarged horizontally on the rightmost image pixel block until n blocks of image pixels.Results: This study compares an original image size and a stego image size and examines a secret message’s length that can be accommodated by the stego image, as well as the Mean Square Error and Structure Similarity Index. The test is done by comparing the size change of the original image with the stego image from the Stretch results, where each original image tested always changes dynamically according to the increasing number of secret message characters. From the MSE and SSIM test results, the success was only with the first image, while the second image to the fourth image remained erroneous because they also did not have the same resolution.Conclusion:The combination of LSB steganography and the Stretch technique can enlarge an image automatically according to the number of secret messages to be inserted. For further research development, image stretch must not only be done horizontally but also vertically. 

Novel Multifold Secured System by Combining Multimodal Mask Steganography and Naive Based Random Visual Cryptography System for Digital Communication

2020 ◽  
Vol 17 (12) ◽  
pp. 5279-5295
Author(s):  
S. Jahnavi ◽  
C. Nandini
Keyword(s):  
Visual Cryptography ◽  
Complete Information ◽  
Cover Image ◽  
Secret Message ◽  
The Internet ◽  
Next Generation ◽  
Least Significant Bit ◽  
Secret Data ◽  
Stego Image ◽  
Digital World

With increase in growth of data and digital threat, demand of securing the data communicated over the internet is an essential play in the digital world. In the vision of digitalizing services with the next generation of security to the sensitive data transmitted over the internet by hiding the existence of the data using next generation cryptography by fusing cryptography techniques is one the major technique adopted. With this the aim in traditional Least Significant Bit (LSB) is one of the widely used technique. Where the secret message or image are placed in the cover image in the least significant bits of RGB Channels resulting in a stego image. But the drawback is, on suspecting the differences in the pixels of original and stegoimage in the secret data embedded can be guessed and extracted by attacker. The Proposed visual crypto-mask steganography method overcomes this drawback and support good payload capacity with multi modal approach of embedding biometrics, resulting in ∞ PSNR. The authenticated person face and fingerprint information is transmitted in a cover image and mask image (magic sheet) using proposed steganography and is combined with Random Visual Crypto Technique. Which results in enhanced and advance visual crypto steganography secured model in communicating sensitive (biometric features) information over the internet. Where the complete information cannot be extracted using only cover image. Mask image (magic sheet) is used along with cover image that reveals the secret data in the receiving end.

scholarly journals Steganography using Spatial Domain Techniques

2019 ◽  
Vol 8 (4) ◽  
pp. 3369-3373
Keyword(s):  
Data Security ◽  
Data Transfer ◽  
Spatial Domain ◽  
Secret Message ◽  
Least Significant Bit ◽  
Secret Data ◽  
Stego Image ◽  
Hiding Capacity ◽  
Military Organization ◽  
Redundant Data

In present world data transfer using the internet is growing. It is very easy and fast way to transfer information like confidential documents, economic transactions, business applications and other covert information over internet. With the advent and growth of internet, people are more concerned about security of information. Data Security is important while data is transferred over internet because any illegal user can access important and private data also make it worthless. Research in data security area will help government agencies, military organization and private companies to securely transmit their confidential data over internet. From past few years various steganography techniques have been developed to hide secret message using various multimedia objects having large amount of redundant data to support steganography. In this paper introduction about steganography, related concepts and implementation of commonly used spatial domain techniques like LSB(Least Significant Bit Technique) with modulus, PVD(Pixel Value Difference) with LSB replacement and adaptive data hiding over edges with LSB are considered. It is observed(while visual, statistical analysis and experiments were carried out) with benchmark cover and stego objects that embedding same amount of secret data in each pixel leads to more visible distortions in a stego image because all pixels do not bear same amount of changes and this effect is more observed in smooth area then edges. Improving stego image imperceptibility and adjusting hiding capacity adaptively are major related research challenges about spatial domain techniques.

scholarly journals Implementation of LSB Steganography on Embedding Messages in Digital Image

2018 ◽  
pp. 38-43
Author(s):  
Randi Rian Putra ◽  
Meika Sari ◽  
Andysah Putera Utama Siahaan ◽  
Muhammad Iqbal
Keyword(s):  
Information Technology ◽  
Digital Image ◽  
Text Message ◽  
Text Messages ◽  
Computer Crime ◽  
Least Significant Bit ◽  
Confidential Data ◽  
Technology Users

The development of information technology today, makes it easier for perpetrators of computer crime, by abusing technology to support its activities, where their activities significantly disrupt someone's privacy. In this paper the insertion of text messages with the least significant bit method. Therefore the administrator needs a system or application that is safe so that it can make it difficult for computer criminals to carry out their activities, and help technology users regarding securing the accessed data bit, which is expected to increase the security of a secret text message. To increase the security of the data to be stored, the data stored is embedded in other media. Least Significant Bit is one method that can be used to hide confidential data on images or media. With this method, the confidentiality of information will be more secure.

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