Performance Evaluation and Cyberattack Mitigation in a Blockchain-Enabled Peer-to-Peer Energy Trading Framework Article Swipe
Nihar Ranjan Pradhan
,
Akhilendra Pratap Singh
,
S. Sudha
,
K. Hemanth Kumar Reddy
,
Diptendu Sinha Roy
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/s23020670
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/s23020670
With the electric power grid experiencing a rapid shift to the smart grid paradigm over a deregulated energy market, Internet of Things (IoT)-based solutions are gaining prominence, and innovative peer-to-peer (P2P) energy trading at a micro level is being deployed. Such advancement, however, leaves traditional security models vulnerable and paves the path for blockchain, a distributed ledger technology (DLT), with its decentralized, open, and transparency characteristics as a viable alternative. However, due to deregulation in energy trading markets, most of the prototype resilience regarding cybersecurity attack, performance and scalability of transaction broadcasting, and its direct impact on overall performances and attacks are required to be supported, which becomes a performance bottleneck with existing blockchain solutions such as Hyperledger, Ethereum, and so on. In this paper, we design a novel permissioned Corda framework for P2P energy trading peers that not only mitigates a new class of cyberattacks, i.e., delay trading (or discard), but also disseminates the transactions in a optimized propagation time, resulting in a fair transaction distribution. Sharing transactions in a permissioned R3 Corda blockchain framework is handled by the Advanced Message Queuing Protocol (AMQP) and transport layer security (TLS). The unique contribution of this paper lies in the use of an optimized CPU and JVM heap memory scenario analysis with P2P metric in addition to a far more realistic multihosted testbed for the performance analysis. The average latencies measured are 22 ms and 51 ms for sending and receiving messages. We compare the throughput by varying different types of flow such as energy request, request + pay, transfer, multiple notary, sender, receiver, and single notary. In the proposed framework, request is an energy asset that is based on payment state and contract in the P2P energy trading module, so in request flow, only one node with no notary appears on the vault of the node.Energy request + pay flow interaction deals with two nodes, such as producer and consumer, to deal with request and transfer of asset ownership with the help of a notary. Request + repeated pay flow request, on node A and repeatedly transfers a fraction of energy asset state to another node, B, through a notary.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s23020670
- https://www.mdpi.com/1424-8220/23/2/670/pdf?version=1673002437
- OA Status
- gold
- Cited By
- 13
- References
- 22
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4317243155
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4317243155Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/s23020670Digital Object Identifier
- Title
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Performance Evaluation and Cyberattack Mitigation in a Blockchain-Enabled Peer-to-Peer Energy Trading FrameworkWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-01-06Full publication date if available
- Authors
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Nihar Ranjan Pradhan, Akhilendra Pratap Singh, S. Sudha, K. Hemanth Kumar Reddy, Diptendu Sinha RoyList of authors in order
- Landing page
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https://doi.org/10.3390/s23020670Publisher landing page
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https://www.mdpi.com/1424-8220/23/2/670/pdf?version=1673002437Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/1424-8220/23/2/670/pdf?version=1673002437Direct OA link when available
- Concepts
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Blockchain, Computer science, Testbed, Computer security, Scalability, Bottleneck, Computer network, Database transaction, Distributed computing, Embedded system, Operating system, DatabaseTop concepts (fields/topics) attached by OpenAlex
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13Total citation count in OpenAlex
- Citations by year (recent)
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2025: 6, 2024: 4, 2023: 3Per-year citation counts (last 5 years)
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22Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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