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Found 11 papers, 2 papers with code
SoK: Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency
The growing number of cases requiring digital forensic analysis raises concerns about law enforcement's ability to conduct investigations promptly.
Computer Vision for Multimedia Geolocation in Human Trafficking Investigation: A Systematic Literature Review
This systematic literature review thoroughly examines the state-of-the-art leveraging computer vision techniques for multimedia geolocation and assesses their potential to expedite human trafficking investigation.
ChatGPT for Digital Forensic Investigation: The Good, The Bad, and The Unknown
The disruptive application of ChatGPT (GPT-3. 5, GPT-4) to a variety of domains has become a topic of much discussion in the scientific community and society at large.
Assessing the Influencing Factors on the Accuracy of Underage Facial Age Estimation
Swift response to the detection of endangered minors is an ongoing concern for law enforcement.
SoK: Exploring the State of the Art and the Future Potential of Artificial Intelligence in Digital Forensic Investigation
Multi-year digital forensic backlogs have become commonplace in law enforcement agencies throughout the globe.
Automated Artefact Relevancy Determination from Artefact Metadata and Associated Timeline Events
This is due to an ever-growing number of cases requiring digital forensic investigation coupled with the growing volume of data to be processed per case.
Methodology for the Automated Metadata-Based Classification of Incriminating Digital Forensic Artefacts
In this paper, a methodology for the automatic prioritisation of suspicious file artefacts (i. e., file artefacts that are pertinent to the investigation) is proposed to reduce the manual analysis effort required.
Improving Borderline Adulthood Facial Age Estimation through Ensemble Learning
Achieving high performance for facial age estimation with subjects in the borderline between adulthood and non-adulthood has always been a challenge.
A Survey of Electromagnetic Side-Channel Attacks and Discussion on their Case-Progressing Potential for Digital Forensics
EM side-channel analysis is a technique where unintentional electromagnetic emissions are used for eavesdropping on the operations and data handling of computing devices.
Cryptography and Security General Literature
Deep learning at the shallow end: Malware classification for non-domain experts
Current malware detection and classification approaches generally rely on time consuming and knowledge intensive processes to extract patterns (signatures) and behaviors from malware, which are then used for identification.
Ranked #1 on
Malware Classification
on Microsoft Malware Classification Challenge
(F1 score (5-fold) metric)
Digital forensic investigation of two-way radio communication equipment and services
To date, there is little research on the digital traces in modern radio communication equipment.
Cryptography and Security Computers and Society
