Anomaly detection for industrial control operations with optimized ABC–SVM and weighted function code correlation analysis

2020 ◽  
Author(s):  
Ming Wan ◽  
Jinfang Li ◽  
Kai Wang ◽  
Bailing Wang
Keyword(s):  
Correlation Analysis ◽  
Anomaly Detection ◽  
Industrial Control ◽  
Weighted Function ◽  
Function Code

Modbus/TCP Communication Anomaly Detection Based on PSO-SVM

2014 ◽  
Vol 490-491 ◽  
pp. 1745-1753 ◽  
Author(s):  
Wen Li Shang ◽  
Sheng Shan Zhang ◽  
Ming Wan
Keyword(s):  
Anomaly Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Code Sequence ◽  
Industrial Control ◽  
Industrial Control Systems ◽  
Detection Model ◽  
Tcp Protocol ◽  
Function Code ◽  
Systems Simulation

Industrial firewall and intrusion detection system based on Modbus TCP protocol analysis and whitelist policy cannot effectively identify attacks on Modbus controller which exactly take advantage of the configured rules. An Industrial control systems simulation environment is established and a data preprocessing method for Modbus TCP traffic captured is designed to meet the need of anomaly detection module. Furthermore a Modbus function code sequence anomaly detection model based on SVM optimized by PSO method is designed. And the model can effectively identify abnormal Modbus TCP traffic, according to frequency of different short mode sequences in a Modbus code sequence.

Detecting cyberattacks using anomaly detection in industrial control systems: A Federated Learning approach

2021 ◽  
Vol 132 ◽  
pp. 103509
Author(s):  
Truong Thu Huong ◽  
Ta Phuong Bac ◽  
Dao Minh Long ◽  
Tran Duc Luong ◽  
Nguyen Minh Dan ◽  
...  
Keyword(s):  
Anomaly Detection ◽  
Control Systems ◽  
Learning Approach ◽  
Industrial Control ◽  
Industrial Control Systems
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