Fog-Based Distributed Intrusion Detection System Against False Metering Attacks in Smart Grid
| Autor: | Djabir Abdeldjalil Chekired, Hussein T. Mouftah, Lyes Khoukhi |
|---|---|
| Přispěvatelé: | Environnement de Réseaux Autonomes (ERA), Institut Charles Delaunay (ICD), Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS), School of Information Technology and Engineering [Ottawa] (SITE), University of Ottawa [Ottawa] |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
geography
geography.geographical_feature_category Computer science business.industry Smart meter 05 social sciences Real-time computing Process (computing) 050801 communication & media studies 7. Clean energy Residential area [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] 0508 media and communications Smart grid 0502 economics and business 050211 marketing Metering mode Electricity business ComputingMilieux_MISCELLANEOUS |
| Zdroj: | ICC 2019-2019 IEEE International Conference on Communications (ICC) ICC 2019-2019 IEEE International Conference on Communications (ICC), May 2019, Shanghai, China. pp.1-6 ICC |
| Popis: | In order to secure smart metering infrastructure against false data injection attacks in smart grid, we propose in this paper a new hierarchical and distributed intrusion detection system (HD-IDS). The proposed HD-IDS is based on distributed Fog architecture using three hierarchical network levels (i.e., home area network, residential area network, and Fog operation center network). At each network level, we implement an IDS; thus, the system ensures three protection and detection levels. The problem is modeled using stochastic Markov chain process illustrating the transitions between different smart meter states. The advantage of the proposed HD-IDS solution is proved using extensive simulations over different performance metrics and compared with centralized architectures. The implementation is based on real-word traces of electricity consumption of the city of Toronto. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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