On the Resiliency of Power and Gas Integration Resources against Cyber Attacks

Engineering

• Cyber Attack 100%
• Power Engineering 50%
• Power-To-Gas 50%
• Fired Generation 50%
• Integrated System 50%
• Control Signal 50%
• Renewables 25%
• Numerical Study 25%
• Output Signal 25%
• Operating Parameter 25%
• Input Signal 25%
• Detection Scheme 25%
• Information Signal 25%
• Learning Technique 25%
• Machine Learning Technique 25%
• Convolutional Neural Network 25%

Computer Science

• Cyber Attack 100%
• Integrated System 75%
• Control Signal 50%
• Generation Facility 50%
• Convolutional Neural Network 25%
• Machine Learning Technique 25%
• Wavelet Transforms 25%
• Traditional Method 25%
• Unsupervised Learning 25%
• Received Information 25%
• False Data Injection Attacks 25%
• Estimation Method 25%
• Neural Network 25%
• Learning Technique 25%
• Information Signal 25%

Chemical Engineering

• Neural Network 100%
• Learning System 50%
• Unsupervised Learning 50%