Ok Google, Start a Fire. IoT devices as witnesses and actors in fire investigations.

Cause Digital forensic Fire reconstruction Internet of Things (IoT) Origin Smart buildings Smart devices

Journal

Forensic science international
ISSN: 1872-6283
Titre abrégé: Forensic Sci Int
Pays: Ireland
ID NLM: 7902034

Informations de publication

Date de publication:
Jul 2023
Historique:
received: 03 10 2022
revised: 20 03 2023
accepted: 28 03 2023
medline: 14 4 2023
pubmed: 14 4 2023
entrez: 13 4 2023
Statut: ppublish

Résumé

Fire incidents are amongst the most destructive events an investigator might encounter, completely transforming a scene with most of the objects left in ashes or highly damaged. Until now, fire investigations relied heavily on burn patterns and electrical artifacts to find possible starting locations, as well as witness statements and more recently witness imagery. As Internet of Things (IoT) devices, often seen as connected smart devices, become more common, the various sensors embedded within them provide a novel source of traces about the environment and events within. They collect and store information in different locations, often not touched by the event, such as remote servers (cloud) or companion smartphones, widening the investigation field for fire incidents. This work presents two controlled fire incidents in apartments that we furnished, equipped with IoT devices, and subsequently burnt. We studied the traces retrievable from the objects themselves after the incident, the companion smartphone apps, and the cloud and assessed the value of the information they conveyed. This research highlighted the pertinence to consider traces from IoT devices in the forensic process of fire investigation.

Identifiants

pubmed: 37055332
pii: S0379-0738(23)00124-X
doi: 10.1016/j.forsciint.2023.111674
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

111674

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

Francesco Servida (F)

University of Lausanne, School of Criminal Justice, Batochime, 1015 Lausanne, Switzerland. Electronic address: francesco.servida@unil.ch.

Manon Fischer (M)

University of Lausanne, School of Criminal Justice, Batochime, 1015 Lausanne, Switzerland. Electronic address: manon.fischer@unil.ch.

Olivier Delémont (O)

University of Lausanne, School of Criminal Justice, Batochime, 1015 Lausanne, Switzerland. Electronic address: olivier.delemont@unil.ch.

Thomas R Souvignet (TR)

University of Lausanne, School of Criminal Justice, Batochime, 1015 Lausanne, Switzerland. Electronic address: thomas.souvignet@unil.ch.

Classifications MeSH