The Complexity of Internet of Things Forensics: A State-of-the-Art Review
Pantaleon, Lutta, SEDKY, Mohamed, HASSAN, Mohamed, Uchitha, Jayawickrama and Bastaki, Benhur (2021) The Complexity of Internet of Things Forensics: A State-of-the-Art Review. Forensic Science International: Digital Investigation, 38 (Sept). ISSN 2666-2817
|
Text
Elsevier Revisions Ver1.pdf - AUTHOR'S ACCEPTED Version (default) Available under License Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0). Download (987kB) | Preview |
Abstract or description
The rapid growth and usefulness of Internet of Things (IoT) has seen it being deployed in critical and strategic infrastructure sectors like healthcare, transport, agriculture, home automation, and smart industries among many others. The benefits of comfort and reliability of IoT technologies to human beings have brought with them security concerns. This is due to its large-scale connectivity and over reliance on the internet for communication making it susceptible to cyberattacks. Digital forensics experts face a daunting task of handling these cyberattacks because of the unique and complex challenges posed by IoT. Recently, researchers have been drawn to finding solutions to these challenges, however, this is still in its infancy. This paper carries out a Systematic Literature Review (SLR) of the current research advancements in IoT forensics. We define key IoT fundamentals, IoT applications, the need for IoT forensics, identify the key factors affecting IoT forensics, and review the practicality of
the available IoT forensics frameworks, models and methodologies. The SLR reveals
research gaps indicating that most of the current research is more theoretical than
practical. There is a need for more practical approaches to tackle the unique IoT
forensics challenges. Finally, for future research directions from the SLR, we have
highlighted and discussed the open challenges and requirements for IoT forensics.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Internet of Things, Digital Forensics, Cloud of Things, Cybercrime, Systematic Literature Review, IoT Challenges |
Faculty: | School of Digital, Technologies and Arts > Computer Science, AI and Robotics |
Depositing User: | Mohamed HASSAN |
Date Deposited: | 02 Jun 2021 09:28 |
Last Modified: | 31 May 2023 01:38 |
URI: | https://eprints.staffs.ac.uk/id/eprint/6934 |
Actions (login required)
View Item |