FDIAs on hybrid trading Transactive Energy Markets: Attacks, impacts, and prevention

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Transactive Energy Market (TEM) operates a day-ahead market for efficient energy management and determines the energy prices in advance for the future period. This predetermined rate is used during real-time energy trading. Hence, it is crucial to provide the correct energy forecast to estimate fair energy prices for all users. However, this market poses a potential opportunity for attackers to manipulate energy prices through False Data Injection Attacks (FDIAs). Moreover, sharing energy forecasts with market operators (MO) or participants violates users’ privacy. To address these issues, this paper first presents two FDIAs to a day-ahead TEM and then numerically evaluates their effects. Then, we design a novel framework to address the trade-off between sharing forecasts and user privacy. We show how users can share the energy forecast with MO and other participants securely while preserving privacy using the developed framework. Finally, we show how our proposed framework detects malicious activities of users (e.g., deviation of actual energy supply/demand from forecast beyond a threshold) and prevent FDIAs effectively.

Original languageEnglish
Title of host publicationProceedings of 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE 2023)
EditorsJérôme Buire
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9798350396782
ISBN (Print)9798350396799
Publication statusPublished - 2023
EventIEEE/PES Innovative Smart Grid Technologies Europe 2023 - Grenoble, France
Duration: 23 Oct 202326 Oct 2023
https://ieeexplore.ieee.org/xpl/conhome/10406304/proceeding (Proceedings)
https://ieee-isgt-europe.org/ (Website)


ConferenceIEEE/PES Innovative Smart Grid Technologies Europe 2023
Abbreviated titleISGT EUROPE 2023
Internet address


  • attack detection
  • false data injection attacks
  • impact analysis
  • Transactive energy market
  • user’s privacy

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