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Holistic Blockchain Approach to Foster Trust, Privacy and Security in IoT Based Ambient Assisted Living Environment

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conference contribution
posted on 2023-08-30, 17:52 authored by Akpanakak Mkpa, Jeannette Chin, Adrian Winckles
The application of blockchains techniques in the Internet of Things (IoT) is gaining much attention with new solutions proposed in diverse areas of the IoT. Conventionally IoT systems are designed to follow the centralised paradigm where security and privacy control is vested on a 'trusted' third-party. This design leaves the user at the mercy of a sovereign broker and in addition, susceptible to several attacks. The implicit trust and the inferred reliability of centralised systems have been challenged recently following several privacy violations and personal data breaches. Consequently, there is a call for more secure decentralised systems that allows for finer control of user privacy while providing secure communication. Propitiously, the blockchain holds much promise and may provide the necessary framework for the design of a secure IoT system that guarantees fine-grained user privacy in a trustless manner. In this paper, we propose a holistic blockchain-based decentralised model for Ambient Assisted Living (AAL) environment. The nodes in our proposed model utilize smart contracts to define interaction rules while working collaboratively to contribute storage and computing resources. Based on the blockchain technique, our proposed model promotes trustless interaction and enhanced user's privacy through the blockchain-Interplanetary File System (IPFS) alliance. The proposed model also addresses the shortfall of storage constraints exhibited in many IoT systems.

History

Page range

52-55

ISSN

2472-7571

Publisher

IEEE

Place of publication

Online

ISBN

978-1-7281-2934-1

Conference proceeding

2019 15th International Conference on Intelligent Environments (IE)

Name of event

2019 15th International Conference on Intelligent Environments (IE)

Location

Rabat, Morocco

Event start date

2019-06-24

Event finish date

2019-06-27

File version

  • Accepted version

Language

  • eng

Legacy posted date

2020-11-10

Legacy creation date

2020-11-10

Legacy Faculty/School/Department

Faculty of Science & Engineering

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