A Time-Sensitive Model for Data Tampering Detection for the Advanced Metering Infrastructure
| Authors | |
|---|---|
| Year of publication | 2021 |
| Type | Article in Proceedings |
| Conference | Proceedings of the 16th Conference on Computer Science and Intelligence Systems (FedCSIS) |
| MU Faculty or unit | |
| Citation | |
| Doi | http://dx.doi.org/10.15439/2021F106 |
| Keywords | Smart Grid; Smart Meters; Data Tampering; Semantic Web |
| Description | Smart Grids offer multiple benefits: efficient energy provision, quicker recoveries from failures, etc. Nevertheless, there is risk of data tampering, unsolicited modification of the data of the smart meters. The main aim of this paper is to provide a model for processing the smart meter data that flags any energy consumption level that could be indication of data tampering. The proposed model is time-sensitive, allowing for tracking the energy usage along time, thus making possible the detection of long-lasting abnormal levels of energy consumption. Such model can be integrated in an anomaly detection system and in a semantic web reasoner. |
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