Data Trust Framework Using Blockchain Technology and Adaptive Transaction Validation

Rouhani, Sara; Deters, Ralph

doi:10.1109/access.2021.3091327

Cited by 23 publications

(5 citation statements)

References 32 publications

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“…For a security enhancement solution, a two-stage security model with reputation-based voting and block miner selection dependent on the node history was developed [20]. In another work, a trust model was developed with reputation, endorsement, and confidence factors to evaluate transactions [21].…”

Section: Literature Reviewmentioning

confidence: 99%

Secure and Robust Demand Response Using Stackelberg Game Model and Energy Blockchain

Samadi,

Ruj,

Schriemer

et al. 2023

Sensors

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Demand response (DR) has been studied widely in the smart grid literature, however, there is still a significant gap in approaches that address security, privacy, and robustness of settlement processes simultaneously. The need for security and robustness emerges as a vital property, as Internet of Things (IoT) devices become part of the smart grid; in the form of smart meters, home energy management systems (HEMSs), intelligent transformers, and so on. In this paper, we use energy blockchain to secure energy transactions among customers and the utility. In addition, we formulate a mixed-strategy stochastic game model to address uncertainties in DR contributions of agents and achieve optimal demand response decisions. This model utilizes the processing hardware of customers for block mining, stores customer DR agreements as distributed ledgers, and offers a smart contract and consensus algorithm for energy transaction validation. We use a real dataset of residential demand profiles and photovoltaic (PV) generation to validate the performance of the proposed scheme. The results show the impact of electric vehicle (EV) discharging and customer demand reduction on increasing the probability of successful block mining and improving customer profits. Moreover, the results demonstrate the security and robustness of our consensus algorithm for detecting malicious activities.

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Section: Literature Reviewmentioning

confidence: 99%

Secure and Robust Demand Response Using Stackelberg Game Model and Energy Blockchain

Samadi,

Ruj,

Schriemer

et al. 2023

Sensors

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“…This is to capture the stored data which would be used as simulation data in modeling the distributed generation environment. The kind of detail recorded in each block depends on the type of transaction and the purpose of use [32], [33]. In the distributed energy generation arena, the generated electric energy is transacted amongst the individuals.…”

Section: B Energy Transaction In Distributed Generation Arenamentioning

confidence: 99%

Adopting the Game Theory Approach in the Blockchain-Driven Pricing Optimization of Standalone Distributed Energy Generations

Okoye

Kim

2022

IEEE Access

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The importance of the distributed generations cannot be overemphasized. This ranges from the contribution to resilience down to the energy cost efficiency advantage at the consumers' end. The distributed generations in some localities, however, lack connection to the utility grid due to the remoteness of the generation site. Certain benefits are, however, threatened. Thus, where there is no energy price regulation policy, fluctuations in energy prices could be the order of the day. This paper, thus, focuses on the transaction price optimization of the standalone distributed generations using the game theory approach. First, blockchain technology is incorporated in the energy transaction arena to bind prosumers and their energy transactions to a common platform. Next, for electricity price prediction, the linear regression algorithm is used to obtain the fitting equation from the current transaction data stored by the blockchain network. Using the fitting equation as the objective function, the particle swarm optimization (PSO) algorithm is used to achieve the proposed energy transaction price minimization and profit maximization. Finally, the individual hourly optimization results are fitted by a decision tree algorithm for instant referencing purposes in making energy best price transaction decisions. The individual results show that it is capable of constantly updating the optimized energy price in real-time based on the subsequent transaction records updated by the blockchain network.

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“…On the other end of the data value chain, building data users may be concerned about the trustworthiness of the data they obtain since their decisions and business may be highly dependent on such data. Blockchain and DLT can help both to empower data sovereignty and to guarantee the trustworthiness of the data transactions [51,52]. The use of these technologies should thus be envisioned in the overall architectural solution.…”

Section: Data Value Chain Stakeholder Requirementsmentioning

confidence: 99%

MATRYCS—A Big Data Architecture for Advanced Services in the Building Domain

et al. 2022

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The building sector is undergoing a deep transformation to contribute to meeting the climate neutrality goals set by policymakers worldwide. This process entails the transition towards smart energy-aware buildings that have lower consumptions and better efficiency performance. Digitalization is a key part of this process. A huge amount of data is currently generated by sensors, smart meters and a multitude of other devices and data sources, and this trend is expected to exponentially increase in the near future. Exploiting these data for different use cases spanning multiple application scenarios is of utmost importance to capture their full value and build smart and innovative building services. In this context, this paper presents a high-level architecture for big data management in the building domain which aims to foster data sharing, interoperability and the seamless integration of advanced services based on data-driven techniques. This work focuses on the functional description of the architecture, underlining the requirements and specifications to be addressed as well as the design principles to be followed. Moreover, a concrete example of the instantiation of such an architecture, based on open source software technologies, is presented and discussed.

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Data Trust Framework Using Blockchain Technology and Adaptive Transaction Validation

Cited by 23 publications

References 32 publications

Secure and Robust Demand Response Using Stackelberg Game Model and Energy Blockchain

Secure and Robust Demand Response Using Stackelberg Game Model and Energy Blockchain

Adopting the Game Theory Approach in the Blockchain-Driven Pricing Optimization of Standalone Distributed Energy Generations

MATRYCS—A Big Data Architecture for Advanced Services in the Building Domain

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