Titlebook: Detection of False Data Injection Attacks in Smart Grid Cyber-Physical Systems; Beibei Li,Rongxing Lu,Gaoxi Xiao Book 2020 The Editor(s) (

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LUCY

Fundamentals and Related Literature,bad data detection, as well as FmDI attacks against state estimation. In addition, the state-of-the-art literature reviews on existing intrusion detection systems (IDSs), FDI attacks detection, and insider threats detection will also be provided.

喃喃而言

,SPNTA: Reliability Analysis Under Topology Attacks—A Stochastic Petri Net Approach,volving network threat environment. The increasing complexity of the grid in the network and physical areas also exacerbates the challenges. In this chapter, we develop an analysis model based on stochastic Petri net (SPN) to evaluate and analyze the reliability of smart grid, especially for topolog

cliche

DHCD: Distributed Host-Based Collaborative Detection for FmDI Attacks,allenging to counter FmDI attacks in smart grid CPS. Although many solutions for FmDI attacks have been proposed, most of them are based on state estimation with the help of the highly centralized control center; therefore, computationally expensive. Moreover, high-level security assurance generally

Chemotherapy

DDOA: A Dirichlet-Based Detection Scheme for Opportunistic Attacks,s) may potentially be compromised by opportunistic attackers with a purpose of manipulating the real-time electricity prices and then gaining illicit financial profits. In this chapter, we propose a Dirichlet-based detection scheme (DDOA) to contain such FcDI cyberattacks. Specifically, we build a D

晚來的提名

PFDD: On Feasibility and Limitations of Detecting FmDI Attacks Using D-FACTS,on smart grids, which we term as the PFDD approach. However, few literature has focused on the systematic analysis of the feasibility and limitations of this approach. To meet this gap, in this chapter we pioneer to investigate the feasibility and limitations by employing PFDD to contain FmDI attack

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