Related papers: A Trustworthy and Consistent Blockchain Oracle Scheme for Industrial Internet of Things

A Trustworthy and Consistent Blockchain Oracle Scheme for Industrial Internet of Things

URL: http://arxiv.org/abs/2310.04975v1
Date: Sun, 8 Oct 2023 02:44:29 GMT
Title: A Trustworthy and Consistent Blockchain Oracle Scheme for Industrial Internet of Things
Authors: Peng Liu, Youquan Xian, Chuanjian Yao, Peng Wang, Li-e Wang, Xianxian Li,
Abstract summary: This paper proposes a secure and reliable oracle scheme that can obtain high-quality off-chain data. Specifically, we first design an oracle node selection algorithm based on Verifiable Random Function (VRF) and reputation mechanism. Second, we propose a data filtering algorithm based on a sliding window to further improve the consistency of the collected data.
Score: 7.430160508879777
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: Blockchain provides decentralization and trustlessness features for the Industrial Internet of Things (IIoT), which expands the application scenarios of IIoT. To address the problem that the blockchain cannot actively obtain off-chain data, the blockchain oracle is proposed as a bridge between the blockchain and external data. However, the existing oracle schemes are difficult to solve the problem of low quality of service caused by frequent data changes and heterogeneous devices in IIoT, and the current oracle node selection schemes are difficult to balance security and quality of service. To tackle these problems, this paper proposes a secure and reliable oracle scheme that can obtain high-quality off-chain data. Specifically, we first design an oracle node selection algorithm based on Verifiable Random Function (VRF) and reputation mechanism to securely select high-quality nodes. Second, we propose a data filtering algorithm based on a sliding window to further improve the consistency of the collected data. We verify the security of the proposed scheme through security analysis. The experimental results show that the proposed scheme can effectively improve the service quality of the oracle.

Related papers

Digital Twin-Assisted Federated Learning with Blockchain in Multi-tier Computing Systems [67.14406100332671]
In Industry 4.0 systems, resource-constrained edge devices engage in frequent data interactions. This paper proposes a digital twin (DT) and federated digital twin (FL) scheme. The efficacy of our proposed cooperative interference-based FL process has been verified through numerical analysis.
arXiv Detail & Related papers (2024-11-04T17:48:02Z)
SEMSO: A Secure and Efficient Multi-Data Source Blockchain Oracle [7.351776973215221]
Current MDS oracle scheme requires nodes to obtain data redundantly from multiple data sources to guarantee data reliability. We propose a new off-chain data aggregation protocol TBLS, to guarantee data source diversity and reliability at low cost. Security analysis verifies the reliability of the proposed scheme, and experiments show that under the same environmental assumptions, SEMSO takes into account data diversity while reducing the response time by 23.5%.
arXiv Detail & Related papers (2024-10-16T13:20:45Z)
SPOQchain: Platform for Secure, Scalable, and Privacy-Preserving Supply Chain Tracing and Counterfeit Protection [46.68279506084277]
This work proposes SPOQchain, a novel blockchain-based platform that provides comprehensive traceability and originality verification. It provides an analysis of privacy and security aspects, demonstrating the need and qualification of SPOQchain for the future of supply chain tracing.
arXiv Detail & Related papers (2024-08-30T07:15:43Z)
DecTest: A Decentralised Testing Architecture for Improving Data Accuracy of Blockchain Oracle [5.327976961338759]
We introduce a new Decentralized Testing architecture (DecTest) that aims to improve data accuracy. A blockchain oracle random secret testing mechanism is first proposed to enhance the monitoring and verification of nodes. We successfully reduced the discrete entropy value of the acquired data and the real value of the data by 61.4%.
arXiv Detail & Related papers (2024-04-21T05:10:17Z)
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning [51.13534069758711]
Decentralized approaches like blockchain offer a compelling solution by implementing a consensus mechanism among multiple entities. Federated Learning (FL) enables participants to collaboratively train models while safeguarding data privacy. This paper investigates the synergy between blockchain's security features and FL's privacy-preserving model training capabilities.
arXiv Detail & Related papers (2024-03-28T07:08:26Z)
Graph Attention Network-based Block Propagation with Optimal AoI and Reputation in Web 3.0 [59.94605620983965]
We design a Graph Attention Network (GAT)-based reliable block propagation optimization framework for blockchain-enabled Web 3.0. To achieve the reliability of block propagation, we introduce a reputation mechanism based on the subjective logic model. Considering that the GAT possesses the excellent ability to process graph-structured data, we utilize the GAT with reinforcement learning to obtain the optimal block propagation trajectory.
arXiv Detail & Related papers (2024-03-20T01:58:38Z)
Generative AI-enabled Blockchain Networks: Fundamentals, Applications, and Case Study [73.87110604150315]
Generative Artificial Intelligence (GAI) has emerged as a promising solution to address challenges of blockchain technology. In this paper, we first introduce GAI techniques, outline their applications, and discuss existing solutions for integrating GAI into blockchains.
arXiv Detail & Related papers (2024-01-28T10:46:17Z)
Addressing Trust Challenges in Blockchain Oracles Using Asymmetric Byzantine Quorums [0.5461938536945723]
A third-party interface or what is known as an Oracle is needed to interact with the external world. The genuineness of the data sourced by these Oracles is paramount, as it directly influences the Byzantine's reliability, credibility, and scalability. A strategy rooted in fault tolerance phi is introduced to tackle these challenges. An autonomous system for sustainability and audibility, built on detection, is put forth.
arXiv Detail & Related papers (2023-12-30T08:53:45Z)
Oracle Character Recognition using Unsupervised Discriminative Consistency Network [65.64172835624206]
We propose a novel unsupervised domain adaptation method for oracle character recognition (OrCR) We leverage pseudo-labeling to incorporate the semantic information into adaptation and constrain augmentation consistency. Our approach achieves state-of-the-art result on Oracle-241 dataset and substantially outperforms the recently proposed structure-texture separation network by 15.1%.
arXiv Detail & Related papers (2023-12-11T02:52:27Z)
Towards Robust Blockchain Price Oracle: A Study on Human-Centric Node Selection Strategy and Incentive Mechanism [6.524599041387636]
oracle can obtain trusted real-time price information for financial applications such as payment and settlement, and asset valuation on the blockchain. This paper proposes an anonymous node selection scheme that anonymously selects nodes with high reputations to participate in tasks. Under the hypothesis of rational man, an incentive mechanism based on the Stackelberg game is proposed.
arXiv Detail & Related papers (2023-09-09T05:56:29Z)
ACon$^2$: Adaptive Conformal Consensus for Provable Blockchain Oracles [31.439376852065713]
Power of smart contracts is enabled by interacting with off-chain data, which in turn opens the possibility to undermine the block state consistency. We propose an adaptive conformal consensus (ACon$2$) algorithm, which derives consensus from multiple oracle contracts. In particular, the proposed algorithm returns a consensus set, which quantifies the uncertainty of data and achieves a desired correctness guarantee.
arXiv Detail & Related papers (2022-11-17T04:37:24Z)

This list is automatically generated from the titles and abstracts of the papers in this site.