Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/4479
Title: PRIVACY PRESERVATION IN BIG DATA APPLICATION USING ADVANCED ENCRYPTION STANDARD AND LEAST SIGNIFICANT BIT STEGANOGRAPHY
Authors: Mohammed, Abdulmalik Danlami
Ojerinde, Oluwaseun A.
Kenneth, Mary Ogbuka
Victor, Moses Folorunsho
Keywords: Steganography, Least Significant Bit, Encryption, Decryption, Stego Document
Issue Date: Mar-2020
Publisher: i-manager’s Journal on Information Technology
Abstract: Over the years, the proliferation of internet data and its widespread usage has contributed to increase in threats to security. Many new technologies are transforming the face of the world in the real environment of today. Nevertheless because of these emerging technologies, we are unable to secure our private information in a very effective manner and these days' cybercrimes are growing day by day. Several methods such as authentication, firewall, cryptography and steganography are used to safeguard this vast amount of data on the internet. Hence, this research aims at protecting the privacy of big data applications using the Advanced Encryption Standard (AES) technique and the Least Significant Bit (LSB) steganography technique. This proposed algorithm hides the generated cipher text using the AES algorithm inside a cover image to hide the presence of the cipher text using the LSB technique. Based on the PSNR, SNR, SSIM and MSE values obtained, it can be concluded that the proposed system is robust and reliable
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/4479
ISSN: 2277-5250
Appears in Collections:Computer Science

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