| Title | Cybersecurity Threats Analysis and Management for Peer-to-Peer Energy Trading |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Dong, Siyuan, Fan, Zhong |
| Conference Name | 2022 IEEE 7th International Energy Conference (ENERGYCON) |
| Date Published | may |
| Keywords | blockchain, blockchains, computer security, Conferences, cybersecurity, distributed power generation, Human Behavior, Metrics, peer to peer security, Peer-to-peer computing, peer-to-peer trading, privacy, pubcrawl, resilience, Resiliency, Scalability, Smart local energy system |
| Abstract | The distributed energy resources (DERs) have significantly stimulated the development of decentralized energy system and changed the way how the energy system works. In recent years, peer-to-peer (P2P) trading has drawn attention as a promising alternative for prosumers to engage with the energy market more actively, particular by using the emerging blockchain technology. Blockchain can securely hold critical information and store data in blocks linking with chain, providing a desired platform for the P2P energy trading. This paper provides a detailed description of blockchain-enabled P2P energy trading, its essential components, and how it can be implemented within the local energy market An analysis of potential threats during blockchain-enabled P2P energy trading is also performed, which subsequently results in a list of operation and privacy requirements suggested to be implemented in the local energy market. |
| DOI | 10.1109/ENERGYCON53164.2022.9830222 |
| Citation Key | dong_cybersecurity_2022 |
Cybersecurity Threats Analysis and Management for Peer-to-Peer Energy Trading