L2DART: A Trust Management System Integrating Blockchain and Off-Chain Computation

Author:

De Salve Andrea1ORCID,Franceschi Luca2ORCID,Lisi Andrea3ORCID,Mori Paolo4ORCID,Ricci Laura2ORCID

Affiliation:

1. Consiglio Nazionale delle Ricerche - ISASI, Lecce, Italy

2. University of Pisa, Pisa, Italy

3. University of Pisa, Pisa, Italy and Consiglio Nazionale delle Ricerche - IIT, Pisa, Italy

4. Consiglio Nazionale delle Ricerche - IIT, Pisa, Italy

Abstract

The blockchain technology has been gaining an increasing popularity for the last years, and smart contracts are being used for a growing number of applications in several scenarios. The execution of smart contracts on public blockchains can be invoked by any user with a transaction, although in many scenarios there would be the need for restricting the right of executing smart contracts only to a restricted set of users. To help deal with this issue, this article proposes a system based on a popular access control framework called RT, Role-based Trust Management, to regulate smart contracts execution rights. The proposed system, called Layer 2 DecentrAlized Role-based Trust management (L2DART), implements the RT framework on a public blockchain, and it is designed as a layer-2 technology that involves both on-chain and off-chain functionalities to reduce the blockchain costs while keeping blockchain auditability, i.e., immutability and transparency. The on-chain costs of L2DART have been evaluated on Ethereum and compared with a previous solution implementing on-chain all the functionalities. The results show that the on-chain costs of L2DART are relatively low, making the system deployable in real-world scenarios.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

Reference56 articles.

1. A distributed trust model

2. Consentio: Managing Consent to Data Access using Permissioned Blockchains

3. Blockchain Applications for Industry 4.0 and Industrial IoT: A Review

4. Trust Management

5. Arpachain. 2018. ARPA Whitepaper. Retrieved from https://docsend.com/view/t69gzij. [Online, accessed 21 October 2021].

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