Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/183914
Title: Active malware analysis
Authors: Lye, Matthias Jun Hao
Keywords: Computer and Information Science
Issue Date: 2025
Publisher: Nanyang Technological University
Source: Lye, M. J. H. (2025). Active malware analysis. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/183914
Project: CCDS24-0815
Abstract: Dynamic Malware analysis is an extremely integral component of Malware Analysis. Dynamic analysis helps to provide an effective approach to analysing malware by executing it in an isolated environment. However, malware authors are constantly trying to evolve their malware and develop techniques to evade analysis and detection, leading to a constant cat-and-mouse game between attackers and defenders. The solution I proposed in this paper would be to utilize a kernel-mode monitor as user-mode malware would not be able to detect these tools. As a result, these tools can remain hidden. Through this paper, I will discuss the feasibility of developing a kernel-mode malware analysis tool to effectively detect malware in real-time and provide a quick and robust response to these malware.
URI: https://hdl.handle.net/10356/183914
Schools: College of Computing and Data Science 
Organisations: DSO National Laboratories
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:CCDS Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
Final FYP report.pdf
  Restricted Access
Active Malware Analysis8.04 MBAdobe PDFView/Open

Page view(s)

11
Updated on May 5, 2025

Download(s)

1
Updated on May 5, 2025

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.