Implementation of Least Significant Bit Image Steganography with Advanced Encryption Standard

2021 ◽  
Author(s):  
Adit Pabbi ◽  
Rakshit Malhotra ◽  
K Manikandan
Keyword(s):  
Image Steganography ◽  
Advanced Encryption Standard ◽  
Least Significant Bit

scholarly journals Cloud based Secure Storage of Files using Hybrid Cryptography and Image Steganography

2020 ◽  
Vol 8 (6) ◽  
pp. 665-667
Keyword(s):  
Data Encryption ◽  
Image Steganography ◽  
Advanced Encryption Standard ◽  
Sensitive Information ◽  
Least Significant Bit ◽  
Data Encryption Standard ◽  
Secure Storage ◽  
Symmetric Key ◽  
Encryption Algorithms ◽  
High Level

Cloud Computing has made it possible to provide individuals as well as organizations with a utility that is costeffective. It empowers businesses by delivering these services using the internet. Files can be shared through the cloud. These files may contain sensitive information that needs to be kept hidden from anonymous users. This is done using cryptographic algorithms. High level of security can be provided using hybrid cryptography to encrypt the data. Advanced Encryption Standard (AES) and Triple Data Encryption Standard (3DES) are the symmetric key encryption algorithms used to secure. An asymmetric key encryption algorithm, Rivest-Shamir-Adleman (RSA) helps in providing a hybrid cryptography model. The security of the key generated can be further enhanced using image steganography method Least Significant Bit (LSB). These issues regarding the security and its challenges will be addressed in this paper and also analyse the measures to handle it.

scholarly journals A systematic overview of secure image steganography

2021 ◽  
Vol 10 (2) ◽  
pp. 178
Author(s):  
Bakhan Tofiq Ahmed
Keyword(s):  
Systematic Review ◽  
Image Steganography ◽  
Advanced Encryption Standard ◽  
The Internet ◽  
Security Level ◽  
Least Significant Bit ◽  
Other Information ◽  
Hide Data ◽  
High Security Level ◽  
Concealed Information

<p>Information is a vitalthing that needs to be secured and well protected during transmission between two or more parties over the internet. This can be achieved by steganography technology. Steganography is the concealing science in which the information is concealed inside other information in a way that the concealed information cannot be detectable by the human eye. Many ways are available to hide data inside a cover media for example text, image, and audio steganography, but image steganography is the most utilized technique among the others. Secure image steganography has a high-security level than traditional technique by combining steganography with cryptography due to encrypting secret information by cryptography algorithm before embedding it into the cover media by steganography algorithm. In this paper,a systematic review has been presented about secure image steganography and its renowned types. Many researchers proposed secure image steganography by using various cryptography and steganography algorithms which have been reviewed. The least significant bit ‘LSB’ was the renowned steganography algorithm which has been used by researchers due to its simplicity, while various cryptography algorithms like advanced encryption standard (AES) and blowfishhave been used to propose secure image steganography in the reviewed papers. The comparison among the reviewed papers indicated that the LSB with hash-RSA gave a greater peak signal-noise ratio ‘PSNR’ value than the others which was 74.0189 dB.</p>

scholarly journals Cryptosystem for Secure Data Transmission using Advance Encryption Standard (AES) and Steganography

2019 ◽  
pp. 317-322 ◽  
Author(s):  
Musa. M. Yahaya ◽  
Aminat Ajibola
Keyword(s):  
Digital Media ◽  
Data Transmission ◽  
Data Security ◽  
Data Transfer ◽  
Business Owners ◽  
Advanced Encryption Standard ◽  
Least Significant Bit ◽  
Media Image ◽  
Key Players ◽  
Secure Data Transmission

Recently, the rate of data transfer over the internet globally has increased and this called for more data security as security of data is of great concern for individuals as well as business owners. Cryptography and steganography are two major key players for data security technique. Cryptography is use to perform encryption on the secrete message while steganography hides the secrete message in digital media, image in this regards. This paper employed these two techniques using Advanced Encryption Standard (AES) for the cryptography and Least Significant Bit (LSB) for the steganography. Combining the two algorithms ensured data integrity, data security, and flexibility. The changes in the secrete message carrier (Stego) is insignificant and is often not noticeable by the nicked eyes, thus this make the interception of the message often difficult by intruder.

scholarly journals IMAGE STEGANOGRAPHY DENGAN METODE LEAST SIGNIFICANT BIT (LSB)

2015 ◽  
Vol 6 (1) ◽  
pp. 53
Author(s):  
M. Miftakul Amin
Keyword(s):  
Image Steganography ◽  
Least Significant Bit

<p>ABSTRAK <br /> <br />Keamanan dalam menyampaikan pesan rahasia merupakan faktor penting dalam penyebaran informasi di dunia maya. Melindungi supaya pesan yang akan dikirimkan sampai kepada pihak yang berhak, perlu dibuat sebuah mekanisme penyembunyian pesan. Tujuan dari penelitian ini adalah menyembunyikan pesan berupa teks rahasia ke dalam citra digital true colour 24 bit dalam format RGB. Metode yang digunakan untuk menyisipkan pesan rahasia menggunakan metode LSB (Least Significant Bit) dengan mengganti bit terakhir atau bit ke-8 dalam setiap komponen warna RGB. <br />Pilihan jenis file citra RGB dengan pertimbangan kapasitas pesan yang dapat disisipkan lebih besar dibandingkan jika menggunakan citra grayscale, hal ini dikarenakan dalam 1 pixel dapat disisipkan 3 buah bit pesan. Ujicoba yang dilakukan memberikan hasil bahwa pesan yang disembunyikan ke dalam citra digital tidak mengurangi kualitas citra digital secara signifikan, dan pesan yang telah <br />disembunyikan dapat diekstrak kembali, sehingga pesan yang dikirimkan dapat sampai dengan aman kepada penerima.</p>

Improved Capacity Image Steganography Algorithm using 16-Pixel Differencing with n-bit LSB Substitution for RGB Images

2016 ◽  
Vol 6 (6) ◽  
pp. 2735 ◽  
Author(s):  
Meenakshi S Arya ◽  
Meenu Rani ◽  
Charndeep Singh Bedi
Keyword(s):  
Digital Media ◽  
Daily Basis ◽  
Image Steganography ◽  
The Internet ◽  
Least Significant Bit ◽  
Content Protection ◽  
Hiding Capacity ◽  
Pixel Value ◽  
Four Levels ◽  
Lsb Substitution

<p>With the intrusion of internet into the lives of every household and terabytes of data being transmitted over the internet on daily basis, the protection of content being transmitted over the internet has become an extremely serious concern. Various measures and methods are being researched and devised everyday to ensure content protection of digital media. To address this issue of content protection, this paper proposes an RGB image steganography based on sixteen-pixel differencing with n-bit Least Significant Bit (LSB) substitution. The proposed technique provides higher embedding capacity without sacrificing the imperceptibility of the host data. The image is divided into 4×4 non overlapping blocks and in each block the average difference value is calculated. Based on this value the block is classified to fall into one of four levels such as, lower, lower-middle, higher-middle and higher. If block belongs to lower level then 2-bit LSB substitution is used in it. Similarly, for lower-middle, higher-middle and higher level blocks 3, 4, and 5 bit LSB substitution is used. In our proposed method there is no need of pixel value readjustment for minimizing distortion. The experimental results show that stego-images are imperceptible and have huge hiding capacity.</p>

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.

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