26.09, 09:00–16:45 (Europe/Berlin), ESA Ost 121
Sprache: English
Chair: Roman Povalej, Polizeiakademie Niedersachsen
With the increase of digitalization and the pervasiveness of information systems, a crime scene is no longer what it used to be with its mix of a location, people, evidence, changes in time, and their virtual counterpart. Including the mainstream use of smart-homes, -infrastructure, -factories, or -cities, investigations and forensic evidence are no longer bound by physics. Evidence can be copied, transferred, and appear in corners of the world, where no-one was looking before. This workshop has the goal of firstly fostering novel, creative, and applied Ideas on how to extract data from information sources, analyze that data, and apply the outcome into a criminal investigation. A second goal is to form a community, interested in appalling their scientific results of computer science, data analytics, and machine learning to cyber forensics.
Further Information: https://informatik2022.polizeiinformatik.de/
Agenda:
09:00 Begrüßung: Roman Povalej, Polizeiakademie Niedersachsen
09:15 Recommendation of Query Terms for Colloquial Texts in Forensic Text Analysis: Jenny Felser, Jian Xi, Christoph Demus, Dirk Labudde, Michael Spranger (University of Applied Sciences Mittweida)
09:45 Potential analysis for the detection of attacks on wireless networks using Wireless intrusion Detecti on System Nzyme: Maximilian Eisenhut, Wilfried Honekamp (Hochschule Stralsund)
10:15 Revistiing the privacy of censored credentials: Viktor Garske, Andreas Noack (Hochschule Stralsund)
11:00 Pause
11:30 An ontological formalization of the domain of Digital Forensics: Martin Morgenstern, Johannes Fähndrich, Wilfried Honekamp (Hochschule Stralsund)
12:00 SCALA-Speech: An Interactive System for Finding and Analyzing Speech Content in Audio Data: Alessia Cornaggia-Urrigshardt, Nikita Jarocky, Frank Kurth, Sebastian Urringshardt, Kevin Wilkinghoff (Fraunhofer Institute for Communication, Information Processing and Ergonomics)
12:30 A frequentist estimation of duplicate probability as a baseline for person identification from image and video material using anthropometric measurements: Florian Heinke, Marie-Luise Heuschkel, Dirk Labudde (University of Applied Sciences Mittweida)
13:00 Mittagspause
14:30 Challenges of Network Traffic Classification Using Deep Learning in Virtual Networks: Daniel Spiekermann (Polizeiakademie Niedersachsen), Jörg Keller (FernUniversität Hagen)
15:00 A pipeline for analysing image and video material in a forensic context with intelligent systems: Svenja Preuß, Dirk Labudde (University of Applied Sciences Mittweida)
15:30 Collecting Identifying Data for Re-Identtification of Mobile Devices carried at a Crime Scene: Daniel Vogel, Markus Krämer (Universität Bonn)
16:00 Pause
16:30 Verabschiedung: Roman Povalej, Polizeiakademie Niedersachsen