Deriving event data sharing in IoT systems using formal modelling and analysis

Paul Fremantle, Benjamin Aziz

Research output: Contribution to journalArticlepeer-review

88 Downloads (Pure)

Abstract

The increasing presence and utilisation of IoT systems raises many fundamental security and privacy issues that require robust approaches in understanding the behaviour of IoT systems and tackling those issues. In previous works, we demonstrated how some of the security and privacy questions in IoT systems could be answered by means of using federated identity management and authorisation frameworks, such as OAuth, intelligent gateways and personal cloud systems. In this paper, we take these works into a more fundamental level by formally modelling and analysing the OAuthing personal cloud-based IoT system. We demonstrate that this exercise reveals how data is shared across the system, and therefore how security and privacy guarantees can be established at a fundamental level.
Original languageEnglish
Article number100092
JournalInternet of Things: Engineering Cyber Physical Human Systems
Volume8
Early online date18 Aug 2019
DOIs
Publication statusPublished - Dec 2019

Keywords

  • CSP
  • Federated Systems
  • Formal Modeling
  • IoT

Fingerprint

Dive into the research topics of 'Deriving event data sharing in IoT systems using formal modelling and analysis'. Together they form a unique fingerprint.

Cite this