Charles Darwin University

CDU eSpace
Institutional Repository

 
CDU Staff and Student only
 

Research and analysis of malware in Portable Document Format (PDF) files

Padmanabhan, Mrinalini (2016). Research and analysis of malware in Portable Document Format (PDF) files. Bachelor of Engineering (Honours) Thesis, Charles Darwin University.

Document type: Thesis
Citation counts: Google Scholar Search Google Scholar
Attached Files (Some files may be inaccessible until you login with your CDU eSpace credentials)
Name Description MIMEType Size Downloads
Download this reading Thesis_CDU_60264_Padmanabhan_M.pdf PDF version generated by student application/pdf 4.22MB 41
Reading the attached file works best in Firefox, Chrome and IE 9 or later.

Author Padmanabhan, Mrinalini
Title Research and analysis of malware in Portable Document Format (PDF) files
Institution Charles Darwin University
Publication Date 2016-11
Thesis Type Bachelor of Engineering (Honours)
Supervisor Shanmugam, Bharanidharan
Kannoorpatti, Krishnan
Subjects ENGINEERING
INFORMATION AND COMPUTING SCIENCES
0803 - Computer Software
080309 - Software Engineering
Abstract Portable Document Format (PDF) files have become standardized and most widely used electronic documentation (Acrobat.adobe.com, 2016), thus leading to a misinterpretation that PDF files are secure. PDF files contain malware, which may compromise the data in a system.

Through this thesis work the future threat to the security of computer systems is being addressed where PDF file can act as a gateway for malware to enter the system and this thesis aims to successfully formulate a solution to identify the security threat. In “Detection of malicious PDF files and directions for enhancements: A state off art survey”, where Nissim et al., (2014), have proposed detailed analysis on malware detection in PDF documents based on three main classification of attacks. Based on the clear classification and guidelines of this article, a theoretical research on the different types of malicious content was done and ways in which it can affect a PDF file, further on in the research, a combination of software and techniques was found through which various types of PDF malware could be detected. The theoretical approach was then implemented in a practical analysis with the currently available freeware.

On the bases of the research and analysis done, the thesis concluded in a combination of existing software’s, predefined libraries and patterns, through which the malicious content in a PDF file can be detected.


© copyright

Every reasonable effort has been made to ensure that permission has been obtained for items included in CDU eSpace. If you believe that your rights have been infringed by this repository, please contact digitisation@cdu.edu.au.

 
Versions
Version Filter Type
Access Statistics: 49 Abstract Views, 41 File Downloads  -  Detailed Statistics
Created: Fri, 24 Feb 2017, 10:57:53 CST by Jessie Ng