Formalization in digital forensic triage for identification of malicious IoT devices

Considering the large number of devices connected to the Internet of Things(IoT), identifying malicious devices for the purpose of “search & seizure” remainsa critical issue for digital investigators. Consequently, the need for techniques that automatically identify malicious devices can spe...

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Main Authors: Ibrahim, Mohammed, Jasser, Muhammed Basheer, Abdullah, Mohd Taufik, Abdullah, Azizol
Format: Article
Published: Blue Eyes Intelligence Engineering & Sciences Publication 2019
Online Access:http://psasir.upm.edu.my/id/eprint/79941/
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author Ibrahim, Mohammed
Jasser, Muhammed Basheer
Abdullah, Mohd Taufik
Abdullah, Azizol
author_facet Ibrahim, Mohammed
Jasser, Muhammed Basheer
Abdullah, Mohd Taufik
Abdullah, Azizol
author_sort Ibrahim, Mohammed
building UPM Institutional Repository
collection Online Access
description Considering the large number of devices connected to the Internet of Things(IoT), identifying malicious devices for the purpose of “search & seizure” remainsa critical issue for digital investigators. Consequently, the need for techniques that automatically identify malicious devices can speed up the process of digital investigation. However, few conceptual approaches were proposed to identify malicious devices during IoT forensic investigation. To overcome that, a formal approach is proposed to automatically triage and fingerprint IoT Malicious devices with their respective states. It is expected that with the proposed formal approach, investigators can simply identify malicious devices, their states as well as determine the scope of investigation.
first_indexed 2025-11-15T12:19:05Z
format Article
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institution Universiti Putra Malaysia
institution_category Local University
last_indexed 2025-11-15T12:19:05Z
publishDate 2019
publisher Blue Eyes Intelligence Engineering & Sciences Publication
recordtype eprints
repository_type Digital Repository
spelling upm-799412023-03-30T04:07:10Z http://psasir.upm.edu.my/id/eprint/79941/ Formalization in digital forensic triage for identification of malicious IoT devices Ibrahim, Mohammed Jasser, Muhammed Basheer Abdullah, Mohd Taufik Abdullah, Azizol Considering the large number of devices connected to the Internet of Things(IoT), identifying malicious devices for the purpose of “search & seizure” remainsa critical issue for digital investigators. Consequently, the need for techniques that automatically identify malicious devices can speed up the process of digital investigation. However, few conceptual approaches were proposed to identify malicious devices during IoT forensic investigation. To overcome that, a formal approach is proposed to automatically triage and fingerprint IoT Malicious devices with their respective states. It is expected that with the proposed formal approach, investigators can simply identify malicious devices, their states as well as determine the scope of investigation. Blue Eyes Intelligence Engineering & Sciences Publication 2019 Article PeerReviewed Ibrahim, Mohammed and Jasser, Muhammed Basheer and Abdullah, Mohd Taufik and Abdullah, Azizol (2019) Formalization in digital forensic triage for identification of malicious IoT devices. International Journal of Engineering and Advanced Technology, 9 (1). pp. 1699-1702. ISSN 2249-8958 https://www.ijeat.org/download/volume-9-issue-1/
spellingShingle Ibrahim, Mohammed
Jasser, Muhammed Basheer
Abdullah, Mohd Taufik
Abdullah, Azizol
Formalization in digital forensic triage for identification of malicious IoT devices
title Formalization in digital forensic triage for identification of malicious IoT devices
title_full Formalization in digital forensic triage for identification of malicious IoT devices
title_fullStr Formalization in digital forensic triage for identification of malicious IoT devices
title_full_unstemmed Formalization in digital forensic triage for identification of malicious IoT devices
title_short Formalization in digital forensic triage for identification of malicious IoT devices
title_sort formalization in digital forensic triage for identification of malicious iot devices
url http://psasir.upm.edu.my/id/eprint/79941/
http://psasir.upm.edu.my/id/eprint/79941/