Evaluating Multi-layer Security Resistance to Adversarial Hacking Attacks on Industrial Internet of Things Devices

Hussain Al-Aqrabi, Richard Hill

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

A primary concern of Industrial Internet of Things (IIoT) users is the threat of loss of valuable Intellectual Property (IP) through insecure operational device security. Whilst robust levels of security are technically possible, the approaches taken to ensure resistance to adversarial attacks can lack practicality in terms of implementation. IIoT devices use constrained hardware which can limit the extent to which data can be stored, processed or communicated and this can potentially increase the vulnerability of a system as additional IIoT devices are introduced. We explore the use of a multi-layer approach to security that produces an exhaust-trail of digital evidence at different levels, depending on the characteristics of the system attack. This approach is then evaluated with respect to common categories of system breach, and a set of characteristics and considerations for system designers is presented.
Original languageEnglish
Title of host publicationDigital Forensic Investigation of Internet of Things (IoT) Devices
EditorsReza Montasari, Hamid Jahankhani, Richard Hill, Simon Parkinson
Place of PublicationCham
PublisherSpringer Nature Switzerland AG
Chapter8
Pages187-203
Number of pages17
Edition1st
ISBN (Electronic)9783030604257
ISBN (Print)9783030604240
DOIs
Publication statusPublished - 10 Dec 2020

Publication series

NameAdvanced Sciences and Technologies for Security Applications
PublisherSpringer Nature Switzerland AG
ISSN (Print)1613-5113
ISSN (Electronic)2363-9466

Fingerprint

Dive into the research topics of 'Evaluating Multi-layer Security Resistance to Adversarial Hacking Attacks on Industrial Internet of Things Devices'. Together they form a unique fingerprint.

Cite this