01418nam a2200169 a 4500 20260901030337.0 250101s2019 xx o 000 0 eng d Yachen Tang Inference of Tampered Smart Meters with Validations from Feeder-Level Power Injections arXiv 2019 text online resource Tampering of metering infrastructure of an electrical distribution system can significantly cause customers' billing discrepancy. The large-scale deployment of smart meters may potentially be tampered by malware by propagating their agents to other IP-based meters. Such a possibility is to pivot through the physical perimeters of a smart meter. While this framework may help utilities to accurately energy consumption information on the regular basis, it is challenging to identify malicious meters when there is a large number of users that are exploited to vulnerability and kWh information being altered. This paper presents a reconfiguration switching scheme based on graph theory incorporating the concept of distributed generators to accelerate the anomaly localization process within an electrical distribution network. First, a data form transformation from a visualized grid topology to a Open access — freely available to read. https://arxiv.org/pdf/1904.13208v1 Read the full paper (PDF) ERES 655 655 0 0 0 3 CYB MAIN MAIN SCICOMP 2026-09-01 0 YGE000916 2026-09-01 03:03:37 https://arxiv.org/pdf/1904.13208v1 2026-09-01 PAPER