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SIGNED : Smart cIty diGital twiN vErifiable Data Framework

Pervez, Zeeshan (författare)
University of the West of Scotland, UK
Khan, Zaheer (författare)
University of the West of England, UK
Ghafoor, Abdul (författare)
RISE,Industriella system
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Soomro, Kamran (författare)
University of the West of England, UK
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 (creator_code:org_t)
Institute of Electrical and Electronics Engineers Inc. 2023
2023
Engelska.
Ingår i: IEEE Access. - : Institute of Electrical and Electronics Engineers Inc.. - 2169-3536. ; 11, s. 29430-29446
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Smart city digital twins can provide useful insights by making effective use of multidisciplinary urban data from diverse sources. Whilst these insights provide new information that helps cities in decision making, verifying the authenticity, integrity, traceability and data ownership across various functional units have become critical characteristics to ensure the data is from an authentic and trustworthy source. However, these characteristics are rarely considered in a digital twin ecosystem. In this research we introduce a novel framework, namely, 'SIGNED: Smart cIty diGital twiN vErifiable Data framework' that is designed on the basis of data ownership, selective disclosure and verifiability principles. Using Verifiable Credentials, SIGNED ensures digital twin data are verifiably authentic i.e., it covers provenance, transparency, and reliability through verifiable presentation. A proof of concept is designed and evaluated based on a smart water management use case to demonstrate the effectiveness of SIGNED in securing verifiable exchange of digital twin data across multiple functional units. The proof-of-concept demonstrates that SIGNED successfully allows the exchange of data in a trusted and verifiable manner at negligible performance cost, thus enhancing security and alleviating privacy issues when sharing data between various functional units in a smart city. 

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Nyckelord

blockchain
digital twins
Self-verification
smart contracts
web3
Decision making
Smart city
Water management
Block-chain
Data framework
Data ownership
Decisions makings
Functional units
Proof of concept
Verifiability
Waters managements
Smart contract

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Pervez, Zeeshan
Khan, Zaheer
Ghafoor, Abdul
Soomro, Kamran
Om ämnet
NATURVETENSKAP
NATURVETENSKAP
och Data och informa ...
och Datavetenskap
Artiklar i publikationen
IEEE Access
Av lärosätet
RISE

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