A Machine Learning Based Framework for Real-Time Detection and Mitigation of Sensor False Data Injection Cyber-Physical Attacks in Industrial Control Systems

<p dir="ltr">In light of the advancement of the technologies used in industrial control systems, securing their operation has become crucial, primarily since their activity is consistently associated with integral elements related to the environment, the safety and health of people,...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Mariam Elnour (14147790) (author)
مؤلفون آخرون:	Mohammad Noorizadeh (16891371) (author), Mohammad Shakerpour (17983747) (author), Nader Meskin (14147796) (author), Khaled Khan (17280781) (author), Raj Jain (17280784) (author)
منشور في:	2023
الموضوعات:	Engineering Electrical engineering Electronics, sensors and digital hardware Materials engineering Hidden Markov models Power systems Artificial neural networks Analytical models Mathematical models Machine learning Predictive models Attack detection attack mitigation industrial control system (ICS) false data injection (FDI) support vector machine (SVM)
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

A Machine Learning Based Framework for Real-Time Detection and Mitigation of Sensor False Data Injection Cyber-Physical Attacks in Industrial Control Systems

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