Digital Forensic Lab


The word forensic is defined as a process of collecting, analysing and reporting about the data that may subsequently become evidence in the criminal justice system. Thus, digital forensic is about forensics involving the digital devices such as computers, CCTV, mobile phones, cameras and so on. With the proliferation of such equipment, the evidence is increasingly likely to be generated through such media. For example, in cases of paedophilia, incriminating evidence is often found on computers, laptops, mobile phones, server or cloud. With such examples, the needs for the research in digital forensics are required to help and ease the task of the law enforcement in handling, analysing and presenting the digital evidence for the criminal investigation. Digital Forensics is responsible to overcome the problem in digital forensics area by involving with the latest research focusing on the digital forensic readiness, enhancing the current framework, developing forensics tools and towards big data and analytics of digital data.


Head of Lab
Assoc. Prof. Dr. Siti Norul Huda Sheikh Abdullah
Dr. Khairul Akram Zainol Ariffin
Dr. Kok Ven Jyn

Research Focus

Table 1: Research Aims

Research Areas


Data Sanitization  

This study aims to develop technique and procedure used to ensure that the deleted data are unable to be accessed by any unauthorized person. The data sanitization procedure contributes for an effective information security approach.

Cloud/ IOT / Cryptocurrency  Forensics 

This study aims to propose a new model to enhance an existing process of investigating cloud, IOT environments that utilized servers around the world to host customer data.  If a cyber-incident happens, legal jurisdiction and the laws that govern the region present unique challenges. The model improves forensics requirements such as confidentiality, integrity, non-repudiation and authentication.

Digital Forensics Frameworks & SOP 

This research aims to develop Digital Forensics (DF) framework and standard of procedure in relation to process of collecting, analyzing and reporting about the data that may subsequently become evidence in the criminal justice system. DF framework is the vital key in conducting a successful forensic investigation.

Audio, Image and Video Forensics Analysis Tools 

This research aims to conduct multimedia comprising audio, image and video forensics that abides DF procedures using new developed or existing algorithms in forensics tools. The algorithms shall provide reliable computer analysis and digital evidence collection.

Crowd Analytics 

This study aims to conduct anomaly analysis for crowd events. The algorithms as well as data driven anomaly methods enhance the detection of abnormal events accurately.

Fake Multimedia Detection and Deep Learning 

This study aims to propose a new fake multimedia detection using handcrafted via machine learning methods and auto-crafted via deep learning methods. The new detection algorithm increases the accuracy and predictive performance of fake multimedia detection approach.

Related Publisher

Table 2: Related Publisher (April 2020)




  • Elsevier-Journal of Forensics Science International
  • Elsevier-Journal of Pattern Recognition Letters
  • Elsevier-Journal of Image and Computing Vision
  • Elsevier-Journal of Expert System with Application
  • Elsevier- Journal of Applied Soft Computing
  • Elsevier- Journal of Knowledge Based System
  • Springer- International Journal of Computer Vision
  • Springer-Multimedia Tools and Applications
  • IEEE Transactions on Cybernetics
  • IEEE Access
  • IEEE Transaction of Pattern Analysis and Machine Intelligence


  • ScienceDirect- Digital Investigation
  • Springer-Artificial Intelligence Review


  • Springer-Journal of Pattern Analysis and Application


  • Taylor - Journal of Digital Forensic Practice
  • Malaysian Journal of Computer Science


  • International Journal of Advanced Computer Science and Applications (IJACSA)
  • Jurnal Teknologi
  • Data in Brief
  • Journal of Computer Science (JCS)
  • Journal of Information and Communication Technology (JICT) 
  • International Journal on Advanced Science, Engineering and Information Technology (IJASEIT)



Asia-Pacific Journal of Information Technology and Multimedia (APJITM)

Subjects Offered

Table 3: Subjects offered

Level of Study



  1. TTD6134 Fundamental of Digital Forensics
  2. TTD6234 Data Recovery and Analysis
  3. TTD6334 Digital Media Forensics Analysis
  4. TC6044 Image Processing and Computer Vision



  1. TTTK4013 System Administration and Networking 
  2. TTTK3033 Operating System
  3. TTTC2013 Introduction to Artificial Intelligence
  4. TTTK3813 Media Processing Techniques