Digital Forensic Lab
About
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.
Members
Head of Lab |
Assoc. Prof. Dr. Siti Norul Huda Sheikh Abdullah |
Members |
Dr. Khairul Akram Zainol Ariffin |
Dr. Kok Ven Jyn |
Research Focus
Table 1: Research Aims
Research Areas |
Aims |
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)
Rank |
Specific |
Q1 |
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Q2 |
|
Q3 |
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Q4 |
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Scopus |
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MyCite |
Asia-Pacific Journal of Information Technology and Multimedia (APJITM) |
Subjects Offered
Table 3: Subjects offered
Level of Study |
Subject |
Postgraduate |
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Undergraduate |
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