Robust snapshot algorithm for power consumption monitoring in computationally constrained micro-grids

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

doi:10.1109/isgt-asia.2015.7387160

Cited by 9 publications

(1 citation statement)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…B collects A data over some time. Once data are collected B deduces what appliance was on by using a mathematical function of appliance load model described in [34]. So B uses it to deduce what appliance was used and when.…”

Section: ) Direct Inferential Attack (Dia)mentioning

confidence: 99%

Privacy Violations in Constrained Micro-Grids: Adversarial Cases

Ambassa

Kayem

Wolthusen

et al. 2016

2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA)

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: ) Direct Inferential Attack (Dia)mentioning

confidence: 99%