A Resilient Cyber-Physical Demand Forecasting System for Critical Infrastructures against Stealthy False Data Injection Attacks

A Resilient Cyber-Physical Demand Forecasting System for Critical Infrastructures against Stealthy False Data Injection Attacks

The safe and efficient function of critical national infrastructure (CNI) relies on the accurate demand forecast. Cyber-physical system-based demand forecasting systems (CDFS), typically found in CNI (such as energy, water, and transport), are highly vulnerable to being compromised under false data...

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Bibliographic Details
Main Authors: Iffat Gheyas, Gregory Epiphaniou, Carsten Maple, Subhash Lakshminarayana
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
resilient demand forecasting system
false data injection
intrusion detection systems
data trustworthiness
node reputation
Online Access:https://www.mdpi.com/2076-3417/12/19/10093

Internet

https://www.mdpi.com/2076-3417/12/19/10093

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