scholarly journals Aplikasi Steganografi Menggunakan Least Significant Bit (LSB) dengan Enkripsi Caesar Chipper dan Rivest Code 4 (RC4) Menggunakan Bahasa Pemrograman JAVA

2021 ◽  
Vol 5 (3) ◽  
pp. 277
Author(s):  
Ade Davy Wiranata ◽  
Rima Tamara Aldisa
Keyword(s):  
Secret Message ◽  
Least Significant Bit ◽  
File Size ◽  
Audio File ◽  
Encrypted Image ◽  
Image File

The research objective is to hide messages through images using the LSB (Least Significant Bit) method and Caesar Chipper and Rivest Code 4 encryption. The LSB (Least Significant Bit) method is used as a message hiding technique in steganography where hiding hidden messages is done by changing a few bits in the segment. image with a secret message. The results of this study resulted in an implementation using the Least Significant Bit (LSB) to be applied to institutions with an interest in maintaining the confidentiality of encrypted image output, changing the image file size and sound (audio) file size.Keywords:Steganography, Least Significant Bit (LSB), Caesar Chiper and RC4.

scholarly journals Image based Steganography in Cryptography implementing different Encryption-Decryption Algorithm

2020 ◽  
pp. 745-748
Author(s):  
Pinky Saikia Dutta ◽  
Sauvik Chakraborty
Keyword(s):  
Transport Layer ◽  
Secret Message ◽  
Electronic Communications ◽  
Video File ◽  
Audio File ◽  
Image File ◽  
Encryption Decryption ◽  
Digital Steganography

Steganography is data hidden within data. Steganography is an encryption technique that can be used along with cryptography as an extra-secure method in which to protect data. Steganography techniques can be applied to images, a video file or an audio file. Steganography is the practice of concealing a file, message, image, or video within another file, message, image, or video. The first recorded use of the term was in 1499 by Johannes Trithemius in his Steganographia, a treatise on cryptography and steganography, disguised as a book on magic. The advantage of steganography over cryptography alone is that the intended secret message does not attract attention to itself as an object of scrutiny. Plainly visible encrypted messages, no matter how unbreakable they are, arouse interest and may in themselves be incriminating in countries in which encryption is illegal. Whereas cryptography is the practice of protecting the contents of a message alone, steganography is concerned both with concealing the fact that a secret message is being sent and its contents. Steganography includes the concealment of information within computer files. In digital steganography, electronic communications may include steganographic coding inside of a transport layer, such as a document file, image file, program or protocol.

scholarly journals IMPLEMENTASI ALGORITMA TWOFISH DANI LEAST SIGNIFICANT BIT (LSB) UNTUK PENYEMBUNYIAN FILE TEXT PADA CITRA DIGITAL

2015 ◽  
Vol 10 (1) ◽  
Author(s):  
Devri Riza Setyawan ◽  
Willy Sudiarto Rahardjo ◽  
R. Gunawan Santosa
Keyword(s):  
The Other ◽  
Communication Media ◽  
Least Significant Bit ◽  
File Size ◽  
Confidential Information ◽  
Output Image ◽  
Image File ◽  
Other Hand ◽  
Insertion Process

Security and confidentiality of information are considered a requirement in today's communication media. Many people have used Internet to share and distribute confidential information. On the other hand, many malicious activities attempts to steal those information by irresponsible parties. Therefore, information must be secured and converted into another form before it is sent to the destination by the use of cryptography and steganography. We developed a program to secure this information, by using Twofish and Least Significant Bit algorithm to encrypt secret messages and then insert it into an image file. By combining these two methods, we can achieve higher levet of information security.The information encoded with twofish algorithm will change the fite size stightly. This changes are caused by the use of padding. In addition, both of the output image are not resistant by some manipulation operations. The output of the system in BMP format does not change the file size after insertion process, while PNG format will have a stightty dffirence infile size due to processing in bitmap mode.

scholarly journals Image Steganography combined with Cryptography

2013 ◽  
Vol 9 (1) ◽  
pp. 976-984 ◽  
Author(s):  
Vijaya Lakshmi Paruchuri ◽  
Dr.R. Sridevi ◽  
K.S. SadaSiva Rao
Keyword(s):  
Image Steganography ◽  
Secret Message ◽  
Secret Key ◽  
Least Significant Bit ◽  
Secret Data ◽  
Encrypted Image ◽  
Hidden Data ◽  
Audio Files ◽  
Lsb Technique ◽  
The Right

Steganography is the science of invisible communication. Apart from the sender and intended recipient no one suspects the existence of the message. Using Steganography, information can be hidden in various mediums known as carriers. The carriers can be images, audio files, video files and text files. Image Steganography is a technique of using an image file as a carrier. Cryptography protects the information by applying the encryption and decryption techniques, so that the secret message can be understood only by the right person.This paper proposes a method, which combines the techniques of Steganography and cryptography, to hide the secret data in an image. In the first phase, the sender will embed the secret data in an image by using the Least Significant Bit (LSB) technique. The embedded image will be encrypted by using an encryption algorithm. At final, the encrypted image will be decrypted and the hidden data will be retrieved by supplying the valid secret key by the receiver. The process includes the phases of Data embedding, Image Encryption and recovery of both original image and secret data from the encrypted 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.

scholarly journals Implementasi Penyembunyian Informasi pada Citra Digital dengan Menggunakan Metode Least Significant Bit(Lsb)

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Hanny Hikmayanti H ◽  
Garno . ◽  
Arfian Pua Meno ◽  
Carudin .
Keyword(s):  
Digital Media ◽  
Secret Message ◽  
Least Significant Bit ◽  
Art And Science ◽  
Image File

ABSTRAK 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. Metode yang digunakan untuk menyembunyikan pesan pada media digital tersebut berbeda‐beda. Contohnya, pada berkas image pesan dapat disembunyikan dengan menggunakan cara menyisipkannya pada bit rendah atau bit yang paling kanan Least Significant Bit (LSB). Penelitian ini adalah untuk dapat memberikan keamanan pada pesan rahasia untuk menyembunyikan pesan tersebut pada gambar menggunakan Metode Least Significant Bit (LSB) dengan tools yang digunakan yaitu matlab. Kata kunci : steganografi, LSB, matlab ABSTRACT Steganography is the art and science of writing hidden messages or hide messages in a way that besides the sender and the recipient, no one knows or realizes that there is a secret message . The method used to hide messages in digital media is different . For example , the image file message can be hidden by using paste on low bit or bits of the rightmost least significant bit ( LSB ) . This research is to be able to provide security at a secret message to the message conceal the image using the method of Least Significant Bit ( LSB ) with the tools that are used ie matlab . Keywords : steganography , LSB , matlab

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 Pangamanan Pesan Menggunakan Kriptografi Caesar Cipher dan Steganografi EOF pada Citra

2020 ◽  
Vol 4 (1) ◽  
pp. 157
Author(s):  
Hermansa H ◽  
Rusydi Umar ◽  
Anton Yudhana
Keyword(s):  
Data Communication ◽  
Secret Message ◽  
Security Level ◽  
Encrypted Image

Security in the protection of sending messages is a matter that must be considered, because the more the development of the age, the more sophisticated the technology. So that security in sending messages and data communication should be of more concern. Therefore we need a method or algorithm that can protect the message to be sent to the recipient of the message. The algorithm that can be used in encrypting is Caesar Cipher, as a cryptographic coding technique for messages so that messages that look difficult to read and solve. As for the method of inserting messages on encrypted image media using the End of File (EOF) steganography method, which is the method used directly at the end of the file. In the work of securing techniques of messages on this system, using various sizes of images or images that will be inserted a coded secret message or encryption whose capacity is not much different from the photos or images to be used. The conclusion of this study is that the application of the Caesar Cipher Algorithm can be used as a message security technique even though the algorithm is so simple but the level of security is assisted by the End of File (EOF) method to insert the encryption results from the Caesar Cipher algorithm so that the security level it has is sufficient to protect message information to be safe from eavesdroppers or hackers of the message that is not responsible or as a protection of data held.

Pixel Prediction-Based Image Steganography by Support Vector Neural Network

2020 ◽  
Author(s):  
Reshma V K ◽  
Vinod Kumar R S
Keyword(s):  
Neural Network ◽  
Medical Image ◽  
Medical Information ◽  
Similarity Index ◽  
Image Steganography ◽  
Secret Message ◽  
Support Vector ◽  
Discrete Wavelet ◽  
Least Significant Bit ◽  
Prediction Scheme

Abstract Securing the privacy of the medical information through the image steganography process has gained more research interest nowadays to protect the privacy of the patient. In the existing works, least significant bit (LSB) replacement strategy was most popularly used to hide the sensitive contents. Here, every pixel was replaced for achieving higher privacy, but it increased the complexity. This work introduces a novel pixel prediction scheme-based image steganography to overcome the complexity issues prevailing in the existing works. In the proposed pixel prediction scheme, the support vector neural network (SVNN) classifier is utilized for the construction of a prediction map, which identifies the suitable pixels for the embedding process. Then, in the embedding phase, wavelet coefficients are extracted from the medical image based on discrete wavelet transform (DWT) and embedding strength, and the secret message is embedded into the HL wavelet band. Finally, the secret message is extracted from the medical image on applying the DWT. The experimentation of the proposed pixel prediction scheme is done by utilizing the medical images from the BRATS database. The proposed pixel prediction scheme has achieved high performance with the values of 48.558 dB, 0.50009 and 0.9879 for the peak signal to noise ratio (PSNR), Structural Similarity Index (SSIM) and correlation factor, respectively.

scholarly journals STEGANOGRAFI AUDIO (WAV) MENGGUNAKAN METODE LSB (LEAST SIGNIFICANT BIT)

CCIT Journal ◽  
2016 ◽  
Vol 9 (2) ◽  
pp. 214-224
Author(s):  
Sugeng Santoso ◽  
Arisman Arisman ◽  
Windy Sentanu
Keyword(s):  
Digital Media ◽  
Digital Audio ◽  
Least Significant Bit ◽  
Audio File ◽  
Distributed Information ◽  
Hide Information

Security of distributed information is essential for maintaining the confidentiality of the information. The process of securing is done by hiding the information on other digital media that are not visible existence. This technique is called steganography, the art of hiding data into digital media with a particular method so that other people do not realize there is something in the digital media. In this paper conducted a study to hide information into digital audio file is not compressed (. Wav) as a carrier file using the Least Significant Bit Modification. Least Significant Bit Modification is a method of hiding information by modifying the last bits of carrier files with the bits of information and only cause changes in the value of a bit higher or a lower one. The system was designed with two main processes, namely phase Embedding and Extracting stage

scholarly journals Steganographic Scheme based on Message-Cover matching

2018 ◽  
Vol 8 (5) ◽  
pp. 3594
Author(s):  
Youssef Taouil ◽  
El Bachir Ameur
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Secret Message ◽  
Discrete Wavelet ◽  
Large Set ◽  
Integer Part ◽  
Least Significant Bit ◽  
Secret Data ◽  
Trade Off ◽  
Good Trade

Steganography is one of the techniques that enter into the field of information   security, it is the art of dissimulating data into digital files in an imperceptible way that does not arise the suspicion. In this paper, a steganographic method based on the Faber-Schauder discrete wavelet transform is proposed. The embedding of the secret data is performed in Least Significant Bit (LSB) of the integer part of the wavelet coefficients. The secret message is decomposed into pairs of bits, then each pair is transformed into another pair based on a permutation that allows to obtain the most matches possible between the message and the LSB of the coefficients. To assess the performance of the proposed method, experiments were carried out on a large set of images, and a comparison to prior works is accomplished. Results show a good level of imperceptibility and a good trade-off imperceptibility-capacity compared to literature.

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