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http://ir.futminna.edu.ng:8080/jspui/handle/123456789/11537
Title: | Privacy Preservation in Big Data Application using Advanced Encryption Standard and Least Significant Bit Steganography |
Authors: | Mohammed, A.D. Ojerinde Oluwaseun Adeniyi Moses, F.V. Kenneth, M.O. |
Keywords: | Steganography Least Significant Bit Encryption Decryption Stego Document |
Issue Date: | 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/123456789/11537 |
Appears in Collections: | Computer Science |
Files in This Item:
File | Description | Size | Format | |
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JIT(Mar-May'2020)_Dr. Abdulmalik Danlami Mohammed.pdf | PRIVACY PRESERVATION IN BIG DATA APPLICATION USING ADVANCED ENCRYPTION STANDARD AND LEAST SIGNIFICANT BIT STEGANOGRAPHY | 5.88 MB | Adobe PDF | View/Open |
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