Securing mobile devices data using image steganography / Muhammad Alimie Rosli

Rosli, Muhammad Alimie (2017) Securing mobile devices data using image steganography / Muhammad Alimie Rosli. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

Nowadays mobile phone users store information and communicate a lot using mobile devices rather than using desktops or notebooks. As a result, their mobile devices are exposed to network exploits where hackers or any cyber attackers can steal their mobile devices data. However, existing data security technique such as encryption technique still failed in inhibiting data theft attacks as encrypted data can easily arouse cyber attackers. One of the possible solution is by applying steganography technique to secure mobile devices data. In this project, the technique used is image steganography using pixel value differencing (PVD) technique. An image mobile steganographic app is developed to secure user data by encrypting user data into cover image. Five different test image with size of 512x512 of PNG file format is used for the cover image. For the mobile devices data, 3 different text with multiple size including 64 bytes, 128 bytes and 256 bytes were applied as secret data and encrypted into the cover image. The imperceptibility effectiveness of the technique is tested based on the PSNR value of each cover image and has been analyzed. The result of the PSNR value of all cover image is above 30 dB shows that the cover image is imperceptible to human eyes and the project considered successful. Based on the result, this technique can effectively provide high imperceptibility to hide secret message into a cover image.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Rosli, Muhammad Alimie
2014281654
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Sheikh Aljunid, Syed Ahmad
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Analysis
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Computer Sciences (Hons.) Multimedia Computing
Keywords: Cyber attackers, image steganography, PSNR value
Date: 2017
URI: https://ir.uitm.edu.my/id/eprint/98090
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