Machine Learning-Based Security Solutions for Critical Cyber-Physical Systems

Author:

Raza Asad1,Memon Shahzad2,Nizamani Muhammad Ali3,Hussain Shah Mahmood4

Affiliation:

1. University of Sindh,A H S Bukhari Post Graduate Centre of ICT Faculty of Engineering and Technology,Jamshoro,Pakistan

2. University of Sindh,Faculty of Engineering and Technology,Department of Electronics Engineering,Jamshoro,Pakistan

3. University of Sindh,Faculty of Engineering and Technology,Department of Information Technology,Jamshoro,Pakistan

4. Northumbria University,Newcastle Business School,UK

Publisher

IEEE

Reference35 articles.

1. Need data for driver behaviour analysis? Presenting the public UAH-DriveSet

2. Industrial Control System Simulation and Data Logging for Intrusion Detection System Research;morris;Seventh Annu Southeast Cyber Secur Summit,2015

3. A Dataset to Support Research in the Design of Secure Water Treatment Systems

4. Deep Learning-Based Anomaly Detection in Cyber-Physical Systems: Progress and Opportunities;luo,2020

5. Novel intrusion detection mechanism with low overhead for SCADA systems;maglaras;Security Solutions and Applied Cryptography in Smart Grid Communications,2016

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