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An improved digital evidence acquisition model for the Internet of Things forensic I: A theoretical framework - 2017

An improved digital evidence acquisition model for the Internet of Things forensic I: A theoretical framework

Research paper on An improved digital evidence acquisition model for the Internet of Things forensic I: A theoretical framework

Research Area:  Digital Forensics

Abstract:

Digital evidence plays a vital role in determining legal case admissibility in electronic- and cyber-oriented crimes. Considering the complicated level of the Internet of Things (IoT) technology, performing the needed forensic investigation will be definitely faced by a number of challenges and obstacles, especially in digital evidence acquisition and analysis phases. Based on the currently available network forensic methods and tools, the performance of IoT forensic will be producing a deteriorated digital evidence trail due to the sophisticated nature of IoT connectivity and data exchangeability via the “things”. In this paper, a revision of IoT digital evidence acquisition procedure is provided. In addition, an improved theoretical framework for IoT forensic model that copes with evidence acquisition issues is proposed and discussed.

Keywords:  
digital evidence acquisition
digital forensic
improved digital forensic
IoT
last-on-scene

Author(s) Name:  Malek Harbawi; Asaf Varol

Journal name:  

Conferrence name:  2017 5th International Symposium on Digital Forensic and Security (ISDFS)

Publisher name:  IEEE

DOI:  10.1109/ISDFS.2017.7916508

Volume Information:  

Paper Link:   https://ieeexplore.ieee.org/abstract/document/7916508

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