The Internet of Things: Challenges and Considerations for Cybercrime Investigations and Digital Forensics

Author:

MacDermott Áine1ORCID,Baker Thar1ORCID,Buck Paul1,Iqbal Farkhund2,Shi Qi1

Affiliation:

1. Liverpool John Moores University, Merseyside, UK

2. Zayed University, Abu Dhabi, UAE

Abstract

The Internet of Things (IoT) represents the seamless merging of the real and digital world, with new devices created that store and pass around data. Processing large quantities of IoT data will proportionately increase workloads of data centres, leaving providers with new security, capacity, and analytics challenges. Handling this data conveniently is a critical challenge, as the overall application performance is highly dependent on the properties of the data management service. This article explores the challenges posed by cybercrime investigations and digital forensics concerning the shifting landscape of crime – the IoT and the evident investigative complexity – moving to the Internet of Anything (IoA)/Internet of Everything (IoE) era. IoT forensics requires a multi-faceted approach where evidence may be collected from a variety of sources such as sensor devices, communication devices, fridges, cars and drones, to smart swarms and intelligent buildings.

Publisher

IGI Global

Subject

Software

Reference32 articles.

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3. Adams, R. B. (2013). The Advanced Data Acquisition Model (ADAM): A process model for digital forensic practice. Murdoch University. Retrieved from http://researchrepository.murdoch.edu.au/14422/2/02Whole.pdf

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