Visible to the public Identification and Mitigation of False Data Injection using Multi State Implicative Interdependency Model (MSIIM) for Smart Grid

TitleIdentification and Mitigation of False Data Injection using Multi State Implicative Interdependency Model (MSIIM) for Smart Grid
Publication TypeConference Paper
Year of Publication2021
AuthorsRoy, Sohini, Sen, Arunabha
Conference Name2021 IEEE International Conference on Communications Workshops (ICC Workshops)
Date PublishedJune 2021
PublisherIEEE
ISBN Number978-1-7281-9441-7
Keywordscomposability, Conferences, data dependency, Data models, False Data Injection, Human Behavior, human factors, Inter Dependency Relations (IDRs), operational states, phasor measurement unit (PMU), pubcrawl, resilience, Resiliency, Routing, Scalability, Secure Routing, simulation, Smart grid, Smart Grid Sensors, Throughput, Wireless sensor networks
Abstract

Smart grid monitoring, automation and control will completely rely on PMU based sensor data soon. Accordingly, a high throughput, low latency Information and Communication Technology (ICT) infrastructure should be opted in this regard. Due to the low cost, low power profile, dynamic nature, improved accuracy and scalability, wireless sensor networks (WSNs) can be a good choice. Yet, the efficiency of a WSN depends a lot on the network design and the routing technique. In this paper a new design of the ICT network for smart grid using WSN is proposed. In order to understand the interactions between different entities, detect their operational levels, design the routing scheme and identify false data injection by particular ICT entities, a new model of interdependency called the Multi State Implicative Interdependency Model (MSIIM) is proposed in this paper, which is an updated version of the Modified Implicative Interdependency Model (MIIM) [1]. MSIIM considers the data dependency and operational accuracy of entities together with structural and functional dependencies between them. A multi-path secure routing technique is also proposed in this paper which relies on the MSIIM model for its functioning. Simulation results prove that MSIIM based False Data Injection (FDI) detection and mitigation works better and faster than existing methods.

URLhttps://ieeexplore.ieee.org/document/9473813
DOI10.1109/ICCWorkshops50388.2021.9473813
Citation Keyroy_identification_2021