Logistic and Tent Map Encrypted Image Steganography in Transformation Domain using DWT-LSB Technique

2021 ◽  
Author(s):  
B S Shashikiran ◽  
K Shaila ◽  
K R Venugopal
Keyword(s):  
Image Steganography ◽  
Tent Map ◽  
Encrypted Image ◽  
Lsb Technique

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.

LSB Pseudorandom Algorithm for Image Steganography Using Skew Tent Map

2019 ◽  
Vol 45 (4) ◽  
pp. 3055-3074
Author(s):  
J. L. Pichardo-Méndez ◽  
L. Palacios-Luengas ◽  
R. F. Martínez-González ◽  
O. Jiménez-Ramírez ◽  
R. Vázquez-Medina
Keyword(s):  
Image Steganography ◽  
Tent Map ◽  
Skew Tent Map

scholarly journals Suggested Method for Encryption and Hiding ‎Image using LCG and LSB

2017 ◽  
Vol 26 (2) ◽  
pp. 66-77
Author(s):  
Atheer Hussein Zyara
Keyword(s):  
Digital Image ◽  
Computer Applications ◽  
Cover Image ◽  
Random Numbers ◽  
Encrypted Data ◽  
Encrypted Image ◽  
Confidential Data ◽  
Different Types ◽  
Hidden Data ◽  
Lsb Technique

Maintaining the confidentiality of the data of the very important areas in computer applications , Where many researchers work in the fields of concealment and encryption . So in this research we are working on the combining of the two methods , where confidential data is encrypted by using  a proposed method , Then the cover is encrypted (regular image) by LCG algorithm (which generates a series of random numbers) to generate the encrypted cover (irregular image) , After that ,we hide the encrypted data in encrypted cover by depending on the LSB technique, then we convert the irregular image into regular image and thereby getting  hidden data in random locations in the  cover image  , This method is characterized by flexibility in terms of the possibility of hiding the different  types of confidential data in different types of media , and durability as that data be hidden in random locations and this  what distinguishes the proposed algorithm , and the results showed high security, because the data is hidden in random locations in encrypted image then convert to the original regular image For clarification of the proposed algorithm , it has been applied on a digital image of the gray type using MATLAB language  by using the efficiency scales PSNR and MSE

scholarly journals A Safe and Secured Medical Textual Information Using an Improved LSB Image Steganography

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Roseline Oluwaseun Ogundokun ◽  
Oluwakemi Christiana Abikoye
Keyword(s):  
Medical Information ◽  
Medical Data ◽  
Image Steganography ◽  
Medical Information System ◽  
Least Significant Bit ◽  
Stego Image ◽  
Performance Metric ◽  
Challenging Tasks ◽  
Multimedia Technologies ◽  
Lsb Technique

Safe conveyance of medical data across unsecured networks nowadays is an essential issue in telemedicine. With the exponential growth of multimedia technologies and connected networks, modern healthcare is a huge step ahead. Authentication of a diagnostic image obtained from a specialist at a remote location which is from the sender is one of the most challenging tasks in an automated healthcare setup. Intruders were found to be able to efficiently exploit securely transmitted messages from previous literature since the algorithms were not efficient enough leading to distortion of information. Therefore, this study proposed a modified least significant bit (LSB) technique capable of protecting and hiding medical data to solve the crucial authentication issue. The application was executed and established by utilizing MATLAB 2018a, and it used a logical bit shift operation for execution. The investigational outcomes established that the proposed technique can entrench medical information without leaving a perceptible falsification in the stego image. The result of this implementation shows that the modified LSB image steganography outperformed the standard LSB technique with a higher PSNR value and lower MSE value when compared with previous research works. The number of shifts was added as a new performance metric for the proposed system. The study concluded that the proposed secured medical information system was evidenced to be proficient in secreting medical information and creating undetectable stego images with slight entrenching falsifications when likened to other prevailing approaches.

LSB Technique-Based Dual-Image Steganography Using COS Function

2021 ◽  
pp. 243-249
Author(s):  
Aiman Jan ◽  
Shabir A. Parah ◽  
Muzamil Hussan ◽  
Bilal A. Malik
Keyword(s):  
Image Steganography ◽  
Dual Image ◽  
Lsb Technique

scholarly journals LSB Embedding in Spatial Domain - A Review of Improved Techniques

2012 ◽  
Vol 3 (1) ◽  
pp. 153-157 ◽  
Author(s):  
Himani Goyal ◽  
Shaveta Chutani
Keyword(s):  
Spatial Domain ◽  
Image Steganography ◽  
Lsb Technique ◽  
Audio Video ◽  
Over Time

Steganography - the art and technique of hiding information in images, audio, video or text and other cover media has evolved and developed with time. Numerous improvements have been achieved with respect to security, robustness and capacity. This paper presents a review of different LSB embedding techniques in Spatial Domain for image steganography. A variety of techniques which have evolved over time and have improved the basic LSB technique have been discussed. These techniques have also been compared on the basis of different parameters.

scholarly journals Optimal Image Steganography Content Destruction Techniques

2021 ◽  
Vol 15 ◽  
pp. 84-88
Author(s):  
Siddeeq Y. Ameen ◽  
Muthana R. Al-Badrany
Keyword(s):  
Discrete Cosine Transform ◽  
Image Steganography ◽  
Cover Image ◽  
Discrete Wavelet ◽  
Least Significant Bit ◽  
Hidden Information ◽  
Random Data ◽  
Cosine Transform ◽  
Wavelet Techniques ◽  
Lsb Technique

The paper presents two approaches for destroying steganogrphy content in an image. The first is the overwriting approach where a random data can be written again over steganographic images whereas the second approach is the denoising approach. With the second approach two kinds of destruction techniques have been adopted these are filtering and discrete wavelet techniques. These two approaches have been simulated and evaluated over two types of hiding techniques, Least Significant Bit LSB technique and Discrete Cosine Transform DCT technique. The results of the simulation show the capability of both approaches to destroy the hidden information without any alteration to the cover image except the denoising approach enhance the PSNR in any received image even without hidden information by an average of 4dB.

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