Evaluation of Machine Learning Algorithms for Detection of Malicious Traffic in SCADA Network

Author:

Rajesh L.,Satyanarayana Penke

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Hybrid Model for Detecting Intrusions on Network Logs;European Journal of Artificial Intelligence and Machine Learning;2024-06-10

2. Ensemble Learning Framework for DDoS Detection in SDN-Based SCADA Systems;Sensors;2023-12-27

3. A security model for smart grid SCADA systems using stochastic neural network;IET Generation, Transmission & Distribution;2023-08

4. Abnormal Detection of Industrial Control System Based on LSTM and GSK Algorithm Customized by Taguchi Method;2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI);2023-05-26

5. Power fingerprint identification based on the improved V-I trajectory with color encoding and transferred CBAM-ResNet;PLOS ONE;2023-02-09

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