dfrws

Use of Automated Systems for Rapid Decisions

Hello everybody. My name is Hannes Spichiger and I’m presenting a short paper called The Use of Automated Systems for Rapid Decisions that I wrote together with my colleague, Timothy Bolle. We both are PhD students at the university of

Law Enforcement Educational Challenges for Mobile Forensics

Hello, and welcome to this presentation about law enforcement educational challenges for mobile forensics. My name is Georgina Humphries, and I work for the Norwegian Police University College and the Nordic Computer Forensic Investigators team, and I’m currently working on

Identifying Interception Possibilities for WhatsApp Communication

Hello everybody. My name is Dennis Wijnberg, and together with Dr Nhien-An Le-Khac, I’m presenting about Alternative Methods for WhatsApp interception. This research project was part of my dissertation in partial fulfillment of my Master of Science degree for the

Your Car Is Recording: Metadata-Driven Dashcam Analysis System

Hello everyone. Thank you for being at this presentation. My name is Kukheon Lee from Digital Forensic Research Center at Korea University. It is an honor to present. Thank you to the DFRWS committee for inviting us here. My presentation

Teaching the Next Generation of Cyber Sleuths

A cartoon graphic of a young Black girl in jeans, a t-shirt and jacket besides words describing the Cyber Sleuth Science Lab's mission
Hello, I’m Darryl Pfeif and I’m going to talk to you about our research project — ‘Introducing Digital Forensics in Secondary School’. This project was recorded with funding from the national science foundation and wouldn’t have been possible without the

Forensic Analysis of ReFS Journaling

Hello, I am Seonho Lee from the Affiliated Institute of ETRI. Today, I talk about the forensic analysis of ReFS Journaling. Before everything, let me just briefly explain the two key topics of the presentation. I’m going to explain what

Towards Deep Fake Video Detection Using PRNU Based Method

Manoranjan Mohanty: Hello, everyone, and thanks for watching this video. This video is about our paper “Towards Deep Fake Video Detection Using PRNU-Based Method”. This work was done in collaboration with UTS and University of Auckland. So, deep fake video

PRNU Based Verification of Multi-Camera Smartphones

Manoranjan Mohanty: Hi, thanks for watching this video. This is about our short paper titled ‘Verification of Multi-Camera Smartphones, which was done in collaboration with UTS and University of Auckland. So basically PRNU-based source camera attribution is a method which

CNN Based Zero Day Malware Detection Using Small Binary Segments

Hello everyone. My name’s Wen Qiaokun. It’s my great honour to be here making this presentation about my research topic, and the name is ‘CNN based zero-day malware detection using small binary segments’.Okay, let’s start. Firstly, why I want to

A Forensic Analysis of Micromobility Solutions

Hey everyone! My name is Niclas Hilgert and today I would like to talk about forensic analysis of micromobility solutions. And in case you’re wondering, what exactly is the micro mobility solution? Something like this: an e-scooter, for example, or

A Contemporary Investigation of NTFS File Fragmentation

Hello, everybody. Greetings from the Netherlands and welcome to this presentation called “A Contemporary Investigation on NTFS File Fragmentation”. In the next 20 minutes, I will tell you all about the research and our paper, which has the same title

Evaluating Results from Automated Systems in Forensic Science

Welcome to this presentation on how to evaluate the results from automated system in forensic science. I’m Timothy Bollé, a PhD student at the University of Lausanne, and Eoghan Casey is my supervisor. Automated systems are, including a rule-based system