Securing matrix counting-based secret-sharing involving crypto steganography

Secret sharing is an approach for accessing sensitive information by several authorized participants. It shares the secret key in different forms among several authorized participants, where a certain number of which is required to retrieve the original secret. This secret sharing raised a new practicality challenge of human secrecy memorization as well as limited number of users allowed, which have been addressed within this work. This paper examines two particular secret sharing techniques known as the counting-based secret sharing and the matrix-based secret sharing, which enhances the former to accommodate a high number of participants. This work aimed to serve participants accommodating the share’s memorization challenge via image steganography as well as testing both schemes in the cases of original 1-bit and 2-bit methods. We compared practicality applying the secret sharing methods combined with two image steganography methods: the least significant bit and the discrete wavelet transform. Our findings included interesting remarks regarding both security and robustness. Our results demonstrated that despite the large number of shares generated, as to serve more participants using the matrix-based scheme, its performance was highly satisfactory. Our experiments illustrated high imperceptibility levels for the matrix-based scheme, which in turn provides higher security and robustness compared to the original method, which provided very few shares serving a limited number of participants.

Increasing Participants Using Counting-Based Secret Sharing via Involving Matrices and Practical Steganography

Video steganography is a method that processes secure communication. When we see the history of steganography, it was hidden in many ways such as tablets covered with wax, & written on the stomachs of rabbits. Here in this paper, considering the video steganography methods to perform secure steganography communication. Many methods have been proposed for video steganography but they're no more different types of formats, secured, quality, of the results. So here propose secure steganography methods i.e. Secure base LSB method, Neural Networks & Fuzzy logic, and check their using PSNR and MSE data of the methods. That data-set has collected is from video streams. And the result was seen with the more formats, more security, quality of outputs, & accuracy values of PSNR & MSE which is better than other proposed methods.

Data Encryption & Decryption Using Steganography

In the present innovation, for the trading of information, the internet is the most well-known and significant medium. With the progression of the web and data innovation, computerized media has become perhaps the most famous and notable data transfer tools. This advanced information incorporates text, pictures, sound, video etc moved over the public organization. The majority of these advanced media appear as pictures and are a significant part in different applications, for example, chat, talk, news, website, web-based business, email, and digital books. The content is still facing various challenges in which including the issues of protection of copyright, modification, authentication. Cryptography, steganography, embedding techniques is widely used to secure the digital data. In this present the hybrid model of LSB steganography and Advanced Encryption Standard (AES) cryptography techniques to enhanced the security of the digital image and text that is undeniably challenging to break by the unapproved person. The security level of the secret information is estimated in the term of MSE and PSNR for better hiding required the low MSE and high PSNR values. 

Enhanced Digital Image and Text Data Security Using Hybrid Model of LSB Steganography and AES Cryptography Technique

In this modern era, where technology is increasing at rapid pace and made all day new developments, security is of highest priority. To protect facts into the unrecognizable form diverse technique are used for records hiding like steganography and cryptography techniques have been advanced. This paper securing the image by way of encryption is completed by LSB bits, DWT and RSA algorithm. This paper additionally presents new strategies wherein cryptography and steganography are mixed to scramble the information and in addition to cover the insights in some other medium through image processing (IP). The encrypted picture can be hiding in some other image by way of the use of LSB bits, DWT strategies so that the secret’s message exists. RSA algorithm applied, receiver will use his/her private key because the secret data have been encrypted by recipient public key. Hide encrypted image in the cover image by DWT. Extract encrypted image from cover image and decrypt text by DWT. The proposed scheme is implemented in MATLAB platform the use of preferred cryptography and steganography set of regulations. Calculate PSNR and MSE. Also calculate the entropy of cover image and stego image. This method is secure for communication in the digital world with the digital data transmission.

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Swati Bhargava

Papers

Hide image and text using lsb, dwt and rsa based on image steganography