Skip to main content
Kent Academic Repository

Smart Insiders: Exploring the Threat from Insiders using the Internet-of-Things

Nurse, Jason R. C., Erola, Arnau, Agrafiotis, Ioannis, Goldsmith, Michael, Creese, Sadie (2016) Smart Insiders: Exploring the Threat from Insiders using the Internet-of-Things. In: 2015 International Workshop on Secure Internet of Things (SIoT). . pp. 5-14. IEEE E-ISBN 978-1-4673-7769-0. (doi:10.1109/SIOT.2015.10) (KAR id:67502)

Abstract

The Internet-of-Things (IoT) is set to be one of the most disruptive technology paradigms since the advent of the Internet itself. Market research company Gartner estimates that around 4.9 billion connected things will be in use in 2015, and around 25 billion by 2020. While there are substantial opportunities accompanying IoT, spanning from Healthcare to Energy, there are an equal number of concerns regarding the security and privacy of this plethora of ubiquitous devices. In this position paper we approach security and privacy in IoT from a different perspective to existing research, by considering the impact that IoT may have on the growing problem of insider threat within enterprises. Our specific aim is to explore the extent to which IoT may exacerbate the insider-threat challenge for organisations and overview the range of new and adapted attack vectors. Here, we focus especially on (personal) devices which insiders bring and use within their employer’s enterprise. As a start to addressing these issues, we outline a broad research agenda to encourage further research in this area.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/SIOT.2015.10
Uncontrolled keywords: Internet-of-things security; smart devices; wearables; insider threat; enterprise attack vectors; research agenda
Subjects: Q Science
T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Jason Nurse
Date Deposited: 03 Jul 2018 12:36 UTC
Last Modified: 05 Nov 2024 11:07 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/67502 (The current URI for this page, for reference purposes)

University of Kent Author Information

  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.