Steganalysis tool based on cloud computing / Ahmad A’fif Zulkifli

Zulkifli, Ahmad A’fif (2020) Steganalysis tool based on cloud computing / Ahmad A’fif Zulkifli. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

Steganalysis is the study of discovering hidden data that manipulated by steganography. The goal is to identify the suspected file, determine whether the file have a hidden data encoded and recover the hidden data. Steganography is increasingly being used by criminals creating malware and cyber-attack tools. Forensics examiner may have problems when they want to examine file such as they need to setup the tools itself and the suspected file could be larger than usual. This project aims to develop a steganalysis tool based on cloud to detect hidden evidence for forensic purpose. This project able to detect file with steganography and extract the hidden file. This project can detect image and document files. Project test was carried out to test the functionality of this project. The test involves examining two separate which contain hidden file and the others contain nothing. From this project, it will be able to help forensics examiner to perform steganalysis on cloud. Other than that, this project also will decrease time consuming and computer resources used.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Zulkifli, Ahmad A’fif
2017283152
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Mohd Ali, Fakariah Hani
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Communication of computer science information
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Science (Hons.) Data Communication and Networking
Keywords: Steganalysis, cloud computing, hidden file
Date: 2020
URI: https://ir.uitm.edu.my/id/eprint/107905
Edit Item
Edit Item

Download

[thumbnail of 107905.pdf] Text
107905.pdf

Download (143kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:

ID Number

107905

Indexing

Statistic

Statistic details