[DFSci] Announcing DFRWS IoT Forensic Challenge Winners

[Eoghan Casey]

DFRWS Community,

Each year the DFRWS creates a forensic challenge - an international competition to encourage development in needed areas of digital forensics. In 2018 and 2019, DFRWS Forensic Challenges concentrate on Internet of Things (IoT). In particular, how can traces from IoT devices be useful for investigations of crimes in the physical world?

This year, the winning team was from the Digital Forensic and Cryptanalysis (DF&C) Laboratory at Kookmin University. The winning team members: Myungseo Park, Soram Kim, Eunhu Park, Giyoon Kim, Uk Hur, Sehoon Lee, Jongsung Kim. This team analyzed available digital
traces to reconstruct the scenario, utilized a framework they
developed for forensic examination of data from Amazon Echo related
systems, and loaded results in Elastic and Kibana for correlation and
analysis, and uncovered traces within network traffic.


DFRWS IoT Forensic Challenge

Each year the DFRWS creates an international competition to encourage development in needed areas of digital forensics. This year the challenge concentrated on Internet-of-Things as a source of evidence
(see https://github.com/dfrws/dfrws2018-challenge). This scenario
involves digital traces from the following types of devices: Samsung
Galaxy smartphone, iSmartAlarm, Arlo, WinkHub, Amazon Echo, and
associated network traffic. This challenge scenario and datasets were
implemented by Francesco Servida at the Ecole des Sciences Criminelles
at University of Lausanne, Switzerland.


IoT Forensic Challenge Results 2018 - 2019

The materials for the winning submission and other competitors are
available here:

https://github.com/dfrws/dfrws2018-challenge/tree/master/challenge-submissions

Eoghan Casey