A Privacy Aware Architecture for IoT Enabled Systems

Ismini Psychoula, Liming Chen, Xuanxia Yao, Huansheng Ning

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Internet of Things has been used widely for the development of many different types of smart systems. But the constant monitoring of activities and behaviours and the collection along with the use of confidential data have led to increasing concerns about privacy which have indeed become one of the main barriers to technology acceptance and adoption. The development of new personalised technologies increases the use of sensitive data which should be kept hidden from third parties. The current methods are not sufficient and effective to assess and mitigate the significant privacy risks exposed by IoT and to support the design and adoption of privacy-aware smart systems. In this context, this paper proposes an architecture for privacy preservation which enables fine-grained control over data, anonymization and authentication. In particular, we introduce a privacy aware IoT architecture that utilises physical unclonable functions and deep learning to ensure the privacy of the collected IoT data.
Original languageEnglish
Title of host publication 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)
Place of PublicationLeicester, UK
PublisherIEEE Xplore
Pages178-183
Number of pages6
ISBN (Electronic)978-1-7281-4034-6
ISBN (Print)978-1-7281-4035-3
DOIs
Publication statusPublished - 9 Apr 2020
Event2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation(SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) - Leicester, United Kingdom
Duration: 19 Aug 201923 Aug 2019

Conference

Conference2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation(SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)
Period19/08/1923/08/19

Keywords

  • Architecture
  • Deep learning
  • IoT
  • PUF
  • Privacy

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  • Cite this

    Psychoula, I., Chen, L., Yao, X., & Ning, H. (2020). A Privacy Aware Architecture for IoT Enabled Systems. In 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) (pp. 178-183). [9060157] IEEE Xplore. https://doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00073