Today, Internet of Things (IoT) implements an ecosystem where a panoply of interconnected devices collect data from physical environments and supply them to processing services, on top of which cloud-based applications are built and provided to mobile end users. The undebatable advantages of smart IoT systems clash with the need of a secure and trustworthy environment. In this paper, we propose a service-based methodology based on blockchain and smart contracts for trustworthy evidence collection at the basis of a trustworthy IoT assurance evaluation. The methodology balances the provided level of trustworthiness and its performance, and is experimentally evaluated using Hyperledger fabric blockchain.
Trustworthy IoT: An evidence collection approach based on smart contracts / C.A. Ardagna, R. Asal, E. Damiani, N. El Ioini, C. Pahl - In: 2019 IEEE International Conference on Services Computing (SCC)[s.l] : IEEE, 2019. - ISBN 9781728127200. - pp. 46-50 (( convegno Conference on Services Computing tenutosi a Milano nel 2019 [10.1109/SCC.2019.00020].
Trustworthy IoT: An evidence collection approach based on smart contracts
C.A. Ardagna;E. Damiani;
2019
Abstract
Today, Internet of Things (IoT) implements an ecosystem where a panoply of interconnected devices collect data from physical environments and supply them to processing services, on top of which cloud-based applications are built and provided to mobile end users. The undebatable advantages of smart IoT systems clash with the need of a secure and trustworthy environment. In this paper, we propose a service-based methodology based on blockchain and smart contracts for trustworthy evidence collection at the basis of a trustworthy IoT assurance evaluation. The methodology balances the provided level of trustworthiness and its performance, and is experimentally evaluated using Hyperledger fabric blockchain.File | Dimensione | Formato | |
---|---|---|---|
main.pdf
accesso aperto
Tipologia:
Post-print, accepted manuscript ecc. (versione accettata dall'editore)
Dimensione
247.84 kB
Formato
Adobe PDF
|
247.84 kB | Adobe PDF | Visualizza/Apri |
08814228.pdf
accesso riservato
Tipologia:
Publisher's version/PDF
Dimensione
131.14 kB
Formato
Adobe PDF
|
131.14 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.