Internet of Things Devices

Digital Forensic Process and Data Reduction

Reza Montasari, Richard Hill, Farshad Montaseri, Hamid Jahankhani, Amin Hosseinian-Far

Research output: Contribution to journalArticle

Abstract

The rapid increase in the pervasiveness of digital devices, combined with their heterogeneous nature, has culminated in increasing volumes of diverse data, aka big data, that can become subject to criminal or civil investigations. This growth in big digital forensic data (DFD) has forced digital forensic practitioners (DFPs) to consider seizing a wider range of devices and acquiring larger volumes of data that can be pertinent to the case being investigated. This, in turn, has created an immense backlog of cases for law enforcement agencies worldwide. The method of data reduction by targeted imaging, combined with a robust process model, however, can assist with speeding up the processes of data acquisition and data analysis in IoT device forensic investigations. To this end, we propose an IoT Forensic Investigation Process Model, IoT-FIPM, that can facilitate not only the reduction of the evidentiary IoT data but also a timely acquisition and analysis of this data.
Original languageEnglish
JournalInternational Journal of Electronic Security and Digital Forensics
Publication statusAccepted/In press - 14 Nov 2019

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Data reduction
Internet
Seizing
Digital devices
Law enforcement
Data acquisition
Imaging techniques
data acquisition
Internet of things
Digital forensics
law enforcement
data analysis

Cite this

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title = "Internet of Things Devices: Digital Forensic Process and Data Reduction",
abstract = "The rapid increase in the pervasiveness of digital devices, combined with their heterogeneous nature, has culminated in increasing volumes of diverse data, aka big data, that can become subject to criminal or civil investigations. This growth in big digital forensic data (DFD) has forced digital forensic practitioners (DFPs) to consider seizing a wider range of devices and acquiring larger volumes of data that can be pertinent to the case being investigated. This, in turn, has created an immense backlog of cases for law enforcement agencies worldwide. The method of data reduction by targeted imaging, combined with a robust process model, however, can assist with speeding up the processes of data acquisition and data analysis in IoT device forensic investigations. To this end, we propose an IoT Forensic Investigation Process Model, IoT-FIPM, that can facilitate not only the reduction of the evidentiary IoT data but also a timely acquisition and analysis of this data.",
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year = "2019",
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journal = "International Journal of Electronic Security and Digital Forensics",
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Internet of Things Devices : Digital Forensic Process and Data Reduction. / Montasari, Reza; Hill, Richard; Montaseri, Farshad ; Jahankhani, Hamid; Hosseinian-Far, Amin.

In: International Journal of Electronic Security and Digital Forensics, 14.11.2019.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Internet of Things Devices

T2 - Digital Forensic Process and Data Reduction

AU - Montasari, Reza

AU - Hill, Richard

AU - Montaseri, Farshad

AU - Jahankhani, Hamid

AU - Hosseinian-Far, Amin

PY - 2019/11/14

Y1 - 2019/11/14

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AB - The rapid increase in the pervasiveness of digital devices, combined with their heterogeneous nature, has culminated in increasing volumes of diverse data, aka big data, that can become subject to criminal or civil investigations. This growth in big digital forensic data (DFD) has forced digital forensic practitioners (DFPs) to consider seizing a wider range of devices and acquiring larger volumes of data that can be pertinent to the case being investigated. This, in turn, has created an immense backlog of cases for law enforcement agencies worldwide. The method of data reduction by targeted imaging, combined with a robust process model, however, can assist with speeding up the processes of data acquisition and data analysis in IoT device forensic investigations. To this end, we propose an IoT Forensic Investigation Process Model, IoT-FIPM, that can facilitate not only the reduction of the evidentiary IoT data but also a timely acquisition and analysis of this data.

KW - IoT Forensics

KW - Digitial forensics

KW - Data acquistion

KW - Big data

KW - Process model

KW - Digital investigations

KW - Computer forensics

KW - Formal process

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