machine learning Archives - Forensic Focus

Machine Learning Based Approach to Analyze File Metadata for Mobile Phone Triage

15th March 2022

Hi all, thank you for your interest in this presentation that will cover the research work conducted by myself, Cezar Serhal, and Dr An Le-Khac from UCD. Our paper presents a machine learning based approach to triage smartphone content using

Using Micro-Services and Artificial Intelligence to Analyze Images in Criminal Evidences

22nd February 2022

Hi everyone. My name is Gabriel Souza, and now I will present a paper to the Digital Forensic Workshop USA, and the article is entitled “Using Micro-Services and Artificial Intelligence to Analyze Images in Criminal Evidences.” So, this work has

Robust Malware Detection Models: Learning From Adversarial Attacks and Defenses

11th February 2022

Hello to all of you. My name is Hemant Rathore and I’m here to present the work “Robust Malware Detection Models: Learning From Adversarial Attacks and Defenses.” The other authors of this paper are Adithya Samavedhi, Sanjay K Sahay, and

Behavioral-Based Forensics and Investigation Approach for Analyzing Attacks on Water Plants Using GANs

1st February 2022

Long tanks of treated clear water at a water plant at dusk

Hello. My name is Nataliia Neshenko. I am a PhD candidate in Florida Atlantic University College of Engineering & Computer Science working with Professor Fuhrt and in collaboration with Professor Bou-Harb from the University of Texas in San Antonio. Today,

Lab Management and Novel Methods and Tools in the Forensic Sciences: Research from October

19th November 2021

Blue gloved hands holding a hard disk platter marked as "evidence"

This month’s roundup features an eclectic assortment of research on mobile, IoT, and vehicular devices, as well as file forensics, image forensics, and threat detection. Much of this research explores novel acquisition techniques for newer technologies, although new methods for

Evaluating Results from Automated Systems in Forensic Science

16th October 202115th October 2021

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

Insider Threat Prediction Based on Unsupervised Anomaly Detection Scheme for Proactive Forensic Investigation

16th October 20218th October 2021

Hello everyone. Wei Yichen from the University of Hong Kong. Today I’m going to introduce our paper about insider threat prediction based on Unsupervised Anomaly Detection Scheme for Proactive Forensic Investigation.Let’s start with the motivation of our research. According to

Digital Forensics Research Looks To The Future

24th February 2021

January was a somewhat light month in the way of digital forensics research publication, though the introduction of an Asia-Pacific (APAC) installment of the Digital Forensics Research Workshop (DFRWS) conference more than made up for it. This month we feature

Deep Learning At The Shallow End: Malware Classification For Non-Domain Experts

12th May 202020th June 2018

by Quan Le, Oisín Boydell, Brian Mac Namee & Mark Scanlon Abstract 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