TELESAFE: Detecting Private/Work Boundary Crossings in Energy Consumption Trails in Telework
Summary: TELESAFE detects private/work boundary crossings in telework by analyzing household electricity consumption trails without training or home instrumentation and can run locally on resource‑constrained devices. It achieves >90% F‑score on real datasets, outperforms ML/DL baselines in complex multi‑device/variable‑length activity settings, and enables privacy‑aware self or third‑party assessment. (summarized by gpt-5-mini on Feb 09 2026)
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| Rank | Cited Paper | Year | Venue | Pagerank |
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| 1,161 | Querying and Mining of Time Series Data: Experimental Comparison of Representations and Distance Measures | 2008 | VLDB | 0.00013585236 |
| 2,260 | VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series | 2018 | SIGMOD | 9.1660405e-05 |
| 4,219 | Matrix Profile X: VALMOD - Scalable Discovery of Variable-Length Motifs in Data Series | 2018 | SIGMOD | 6.3500768e-05 |
| 4,264 | Matrix Profile IV: Using Weakly Labeled Time Series to Predict Outcomes | 2017 | VLDB | 6.3101889e-05 |
| 6,687 | Motiflets - Simple and Accurate Detection of Motifs in Time Series | 2023 | VLDB | 4.9623586e-05 |
| 11,688 | Personal Database Security and Trusted Execution Environments: A Tutorial at the Crossroads | 2019 | VLDB | 4.1945683e-05 |
| 12,265 | Secure Personal Data Servers: a Vision Paper | 2010 | VLDB | 4.1945683e-05 |
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