Forensic analysis of IoT ecosystem
Type de document :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes
Titre :
Forensic analysis of IoT ecosystem
Auteur(s) :
Bouchaud, François [Auteur]
Vantroys, Thomas [Auteur]
Institut de Recherche sur les Composants logiciels et matériels pour l'Information et la Communication Avancé - UAR 3380 [IRCICA]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Extra Small Extra Safe [2XS]
École polytechnique universitaire de Lille [Polytech Lille]
Grimaud, Gilles [Auteur]
Institut de Recherche sur les Composants logiciels et matériels pour l'Information et la Communication Avancé - UAR 3380 [IRCICA]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Vantroys, Thomas [Auteur]
Institut de Recherche sur les Composants logiciels et matériels pour l'Information et la Communication Avancé - UAR 3380 [IRCICA]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Extra Small Extra Safe [2XS]
École polytechnique universitaire de Lille [Polytech Lille]
Grimaud, Gilles [Auteur]
Institut de Recherche sur les Composants logiciels et matériels pour l'Information et la Communication Avancé - UAR 3380 [IRCICA]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Titre de la manifestation scientifique :
FiCloud 2021 The 8th International Conference on Future Internet of Things and Cloud
Ville :
Roma
Pays :
Italie
Date de début de la manifestation scientifique :
2021-08-23
Mot(s)-clé(s) en anglais :
Internet of Things
IoT Forensic
Investigations
Crime scene
Collection and Analysis
Evidence
IoT Forensic
Investigations
Crime scene
Collection and Analysis
Evidence
Discipline(s) HAL :
Informatique [cs]/Systèmes embarqués
Résumé en anglais : [en]
Connected toys, home automation appliances and wearable devices are all part of the Internet of Things (IoT). They digitize our lives and generate massive data transfer. This phenomenon brings many opportunities for police ...
Lire la suite >Connected toys, home automation appliances and wearable devices are all part of the Internet of Things (IoT). They digitize our lives and generate massive data transfer. This phenomenon brings many opportunities for police investigations, with a rich source of evidence 1 , information that is often unexplored and not valued. The proliferation of connected devices has given rise to IoT Forensic. It deals with IoT-related cyber-crime. It includes both local and external investigations. It is therefore a much more complex, multidimensional, and multidisciplinary approach than traditional forensics. Data can be scattered throughout the infrastructure, depending on its management policy (synchronization and storage). They become meaningful when they are contextualized and cross-referenced. This article focus on the process of exploiting data from connected devices at a crime scene and on reconstructing the timeline of a criminal event. We use a scenario based on real facts to illustrate the process of IoT investigation. Based on discovered data and objects, we reconstruct the chronology of criminal events.Lire moins >
Lire la suite >Connected toys, home automation appliances and wearable devices are all part of the Internet of Things (IoT). They digitize our lives and generate massive data transfer. This phenomenon brings many opportunities for police investigations, with a rich source of evidence 1 , information that is often unexplored and not valued. The proliferation of connected devices has given rise to IoT Forensic. It deals with IoT-related cyber-crime. It includes both local and external investigations. It is therefore a much more complex, multidimensional, and multidisciplinary approach than traditional forensics. Data can be scattered throughout the infrastructure, depending on its management policy (synchronization and storage). They become meaningful when they are contextualized and cross-referenced. This article focus on the process of exploiting data from connected devices at a crime scene and on reconstructing the timeline of a criminal event. We use a scenario based on real facts to illustrate the process of IoT investigation. Based on discovered data and objects, we reconstruct the chronology of criminal events.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
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