Internet of Things forensics: challenges and approaches
- Edewede Oriwoh,
- David Jazani,
- Gregory Epiphaniou,
- Paul Sant
Research Output: Contribution to conference Paper Peer-review
Open access
Abstract
The scope of this paper is two-fold: firstly it proposes the application of a 1-2-3 Zones approach to Internet of Things (IoT)-related Digital Forensics (DF) investigations. Secondly, it introduces a Next-Best-Thing Triage (NBT) Model for use in conjunction with the 1-2-3 Zones approach where necessary and vice versa. These two ‘approaches’ are essential for the DF process from an IoT perspective: the atypical nature of IoT sources of evidence (i.e. Objects of Forensic Interest - OOFI), the pervasiveness of the IoT environment and its other unique attributes - and the combination of these attributes - dictate the necessity for a systematic DF approach to incidents. The two approaches proposed are designed to serve as a beacon to incident responders, increasing the efficiency and effectiveness of their IoT-related investigations by maximizing the use of the available time and ensuring relevant evidence identification and acquisition. The approaches can also be applied in conjunction with existing, recognised DF models, methodologies and frameworks.
Publication Information
Output type
Research Output: Contribution to conference Paper Peer-review
Original language
EnglishPublication milestones
- Published - 12/11/2013
Publication status
Published - 12/11/2013
External Publication IDs
- Scopus: 84893605482
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Final published version
Final published version, 391.78 KB
License:CC BY-NC-ND, opens in new tab
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