Computer forensics is the practice of collecting, analyzing, and reporting on digital data. It can be used in the detection and prevention of crime and in any dispute where evidence is stored digitally. It is not just the content of emails, documents, and other files that may be of interest to investigators but also the ‘metadata’ associated with those files. A forensic examination of the device (Computer, mobile, or a handheld device) may reveal when a document first appeared on a computer, when it was last edited when it was last saved or printed and which user carried out these actions. Our focus in this lab is to explore the digital forensics-related research problems and to propose viable and efficient methods and solutions.
Research Areas:
- Video Forensics
- Suspect Identification
- Audio/Video Forgery Detection
- Browser Forensics
- Social Media Forensics
Group Senior Members:
- Dr. Zunera (Head)
- Dr. Mehdi Hassan
Faculty:
- Ms. Sidra Siddiqui
- Abdul Rehman Javed
- Syed Kashif Alam
Students:
- Xain-Ul-Hassan
- Abdullah Arshad
- Salman Zulfiqar
- Ahmad Faraz
- Dua Farrukh
- Aamir Rasool
- Abdul Manan
- Syed Ibrahim
- Riaz Ahmad
Research Projects:
- Web browser forensics
- Sentiment Based Email Classifier
Publications:
Abdul Rehman Javed, Zunera Jalil, Byte-Level Object Identification for Forensic Investigation of Digital Image, ICCWS, IEEE (2020)
Aamir Rasool and Zunera Jalil, A Review of Web Browser Forensic Analysis Tools and Techniques, Researchpedia Journal of Computing, Vol 1, June 2020.
Abdul Rehman Javed, Zunera Jalil, Mehdi Hasan, Kashif Kifayat, Ali Daud, Classification of state-of-the-art Computer Forensics Investigation Tools using Feature Scoring Model Submitted (Under Review)