Privacy Violations in Constrained Micro-Grids: Adversarial Cases

Pacome Ambassa, Anne V.D.M. Kayem, Christoph Meinel, Stephen Wolthusen

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Smart micro-grid architectures are small scale electricity provision networks composed of individual electricity providers and consumers. Supporting micro-grids with computationally limited devices, is a cost-effective approach to service provisioning in resource-limited settings. However, the limited availability of real time measurements and the unreliable communication network makes the use of Advanced Metering Infrastructure (AMI) for monitoring and control a challenging problem. Grid operation and stability are therefore reliant on inaccurate and incomplete information. Consequently, data gathering and analytics raise privacy concerns for grid users, which is undesirable. In this paper, we study adversarial scenarios for the privacy violations on micro-grids. We consider two types of privacy threats in constrained micro-grids, namely inferential and aggregation attacks. The reason is that both attacks capture scenarios that can be used to provoke energy theft and destabilize the grid. Grid destabilzation leads to distrust between suppliers and consumers. This work provides a roadmap towards a secure and resilient smart micro-grid energy networks.
Original languageEnglish
Title of host publicationProceedings of the 2016 30th International Conference on Advanced Information Networking and Applications Workshops (AINA 2016)
PublisherIEEE Press
Number of pages6
Publication statusPublished - 19 May 2016


  • Privacy, Security, Data privacy, Power demand, Communication networks, Mobile communication, Reliability

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