P2PEdge: A Decentralised, Scalable P2P Architecture for Energy Trading in Real-Time

Jan Kalbantner, Konstantinos Markantonakis, Darren Hurley-Smith, Raja Naeem Akram and Benjamin Semal
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Jan Kalbantner: Information Security Group, Royal Holloway, University of London, Egham TW20 0EX, UK
Konstantinos Markantonakis: Information Security Group, Royal Holloway, University of London, Egham TW20 0EX, UK
Darren Hurley-Smith: Information Security Group, Royal Holloway, University of London, Egham TW20 0EX, UK
Raja Naeem Akram: Department of Computer Science, University of Aberdeen, Aberdeen AB24 3FX, UK
Benjamin Semal: Information Security Group, Royal Holloway, University of London, Egham TW20 0EX, UK

Energies, 2021, vol. 14, issue 3, 1-25

Abstract: Current Peer-to-Peer (P2P) energy market models raise serious concerns regarding the confidentiality and integrity of energy consumption, trading and billing data. While Distributed Ledger Technology (DLT) systems (e.g., blockchain) have been proposed to enhance security, an attacker could damage other parts of the model, such as its infrastructure: an adversarial attacker could target the communication between entities by, e.g., eavesdropping or modifying data. The main goal of this paper is to propose a model for a decentralised P2P marketplace for trading energy, which addresses the problem of developing security and privacy-aware environments. Additionally, a Multi-Agent System (MAS) architecture is presented with a focus on security and sustainability. In order to propose a solution to DLT’s scalability issues (i.e., through transaction confirmation delays), off-chain state channels are considered for the energy negotiation and resolution processes. Additionally, a STRIDE (spoofing, tampering, repudiation, information disclosure, denial of service, elevation of privilege) security analysis is conducted within the context of the proposed model to identify potential vulnerabilities.

Keywords: smart grid; security; STRIDE; decentralised P2P model; state channel; blockchain; edge computing (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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