Consortium Blockchain Based Data Aggregation and Regulation Mechanism for Smart Grid

Fan, Mochan; Zhang, Xiaohong

doi:10.1109/access.2019.2905298

Cited by 104 publications

(43 citation statements)

References 31 publications

(43 reference statements)

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“…In addition, Grid-Monitoring adopts three cryptographic primitives, including, consumer private key, consumer public key, and authenticator contract key. Fan and Zhang [15] proposed a data aggregation and regulation mechanism for the smart grid. Based on a consortium blockchain and the hybrid signcryption scheme, the proposed mechanism can be applied to multidimensional data acquisition and multiple receivers.…”

Section: Related Workmentioning

confidence: 99%

DeepCoin: A Novel Deep Learning and Blockchain-Based Energy Exchange Framework for Smart Grids

Ferrag

Μαγλαράς

2020

IEEE Trans. Eng. Manage.

259

121

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In this paper, we propose a novel deep learning and blockchain-based energy framework for Smart Grids, entitled DeepCoin. The DeepCoin framework uses two schemes, a blockchain-based scheme and a deep learning-based scheme. The blockchain-based scheme consists of five phases; setup phase, agreement phase, creating a block phase and consensus-making phase, and view change phase. It incorporates a novel reliable peer-to-peer energy system that is based on the practical Byzantine fault tolerance algorithm and it achieves high throughput. In order to prevent smart grid attacks, the proposed framework makes the generation of blocks using short signatures and hash functions. The proposed deep learning-based scheme is an intrusion detection system (IDS), which employs recurrent neural networks (RNNs) for detecting network attacks and fraudulent transactions in the blockchain-based energy network. We study the performance of the proposed IDS on three different sources the CICIDS2017 dataset, a Power System dataset, and a Bot-IoT dataset.

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Section: Related Workmentioning

confidence: 99%

DeepCoin: A Novel Deep Learning and Blockchain-Based Energy Exchange Framework for Smart Grids

Ferrag

Μαγλαράς

2020

IEEE Trans. Eng. Manage.

259

121

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“…23 So, it is essential to provide security to the smart grid. Fan et al 24 and Gai et al 25 propose the rainbow chain verification method of blockchain for overcoming the attacks on the smart grid and improve the potency of security in energy exchange information. Pop et al 26 propose decentralized technology for evaluating the demand response of energy in smart grid by using different household energy data set.…”

Section: Energymentioning

confidence: 99%

Adoption of blockchain technology in various realms: Opportunities and challenges

Akram

Malik

Singh

et al. 2020

Security and Privacy

148

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Our society is becoming “smarter” and more interconnected, as evidenced by technological trends such as smart farming, smart healthcare, supply chain and logistics, and smart city and nation. Security and privacy are two major key considerations in these smart applications, such as blockchain‐based security solutions for Industry 4.0‐based applications (the focus of this study). In this study, we present a systematic review of existing blockchain‐based solutions, particularly for Industry 4.0‐based applications. We present the merits and demerits of various state‐of‐the‐art approaches. We also highlight the challenges of the blockchain with the scope of interoperability and governance so that this gives a clear understanding to researchers and professionals.

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“…A practical demonstration of the proposed scheme using the blockchain mechanism was performed as follows [7] with the parameters listed in Table 3. Three different cases were considered in the simulations, which were conducted in the Windows 10, 64-bit OS installed on an Intel Core i5-8250U with a 1.60-1.80 GHz processor and 8 GB RAM.…”

Section: E Practical Demonstrationmentioning

confidence: 99%

A Tutorial and Future Research for Building a Blockchain-Based Secure Communication Scheme for Internet of Intelligent Things

et al. 2020

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The Internet of Intelligent Things (IoIT) communication environment can be utilized in various types of applications (for example, intelligent battlefields, smart healthcare systems, the industrial internet, home automation, and many more). Communications that happen in such environments can have different types of security and privacy issues, which can be resolved through the utilization of blockchain. In this paper, we propose a tutorial that aims in desiging a generalized blockchain-based secure authentication key management scheme for the IoIT environment. Moreover, some issues with using blockchain for a communication environment are discussed as future research directions. The details of different types of blockchain are also provided. Some of the widely-accepted consensus algorithms are then discussed. Next, we discuss different types of applications in blockchain-based IoIT communication environments. The details of the associated system models are provided, such as, the network and attack models for the blockchain-based IoIT communication environment, which are helpful in designing a security protocol for such an environment. A practical demonstration of the proposed generalized scheme is provided in order to measure the impact of the scheme on the performance of the essential parameters. Finally, some of the future research challenges in the blockchain-based IoIT communication environment are highlighted, which will also be helpful to the researchers. INDEX TERMS Blockchain, Internet of Intelligent Things (IoIT), IoT, security and privacy.

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Consortium Blockchain Based Data Aggregation and Regulation Mechanism for Smart Grid

Cited by 104 publications

References 31 publications

DeepCoin: A Novel Deep Learning and Blockchain-Based Energy Exchange Framework for Smart Grids

DeepCoin: A Novel Deep Learning and Blockchain-Based Energy Exchange Framework for Smart Grids

Adoption of blockchain technology in various realms: Opportunities and challenges

A Tutorial and Future Research for Building a Blockchain-Based Secure Communication Scheme for Internet of Intelligent Things

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