Machine Learning Methods for Industrial Protocol Security Analysis: Issues, Taxonomy, and Directions

Machine Learning Methods for Industrial Protocol Security Analysis: Issues, Taxonomy, and Directions

Machine learning has been widely studied in the security analysis of Industrial Control Systems (ICSs). However, in industrial scenarios, the amount of data as well as the speed of data generation are very different from standard machine learning data sets. Using these heterogeneous data and finding...

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Bibliographic Details
Main Authors: Jiaping Men, Zhuo Lv, Xiaojun Zhou, Zhen Han, Hequn Xian, Ya-Nan Song
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Protocol vulnerability
vulnerability analysis
machine learning
exploitation
ICS security
Online Access:https://ieeexplore.ieee.org/document/9016234/

Internet

https://ieeexplore.ieee.org/document/9016234/

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