Topology change detection in networks due to false data injections: a priori assessment based on graph matching techniques
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41872-024-00247-9.pdf
Reference32 articles.
1. Aboelwafa MM, Seddik KG, Eldefrawy MH, Gadallah Y, Gidlund M (2020) A machine-learning-based technique for false data injection attacks detection in industrial IoT. IEEE Internet Things J 7(9):8462–8471
2. Adhikari RS, Aste N, Manfren M (2012) Multi-commodity network flow models for dynamic energy management—Smart Grid applications. Energy Procedia 14:1374–1379
3. Ahmed M, Pathan ASK (2020) False data injection attack (FDIA): an overview and new metrics for fair evaluation of its countermeasure. Complex Adaptive Syst Model 8:4
4. Anwar A, Mahmood AN (2016) Anomaly detection in electric network database of smart grid: Graph matching approach. Electr Power Syst Res 133:51–62
5. Carletti V, Foggia P, Greco A, Saggese A, Vento M (2020) Comparing performance of graph matching algorithms on huge graphs. Pattern Recogn Lett 134:58–67
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