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About Security Analysis of Cyber Physical Systems Using Machine - Learning
This document reviews security analysis of cyber physical systems using machine learning. It discusses how cyber physical systems integrate cyber and physical environments but traditional security approaches treated them separately. This led to vulnerabilities from networks and embedded controllers. The review found that machine learning techniques like KNN, SVM, and DNN can help detect cyber attacks on cyber physical systems. It also explored using code mutation, automated machine learning for self-adaptation, and blockchain for increased security. Overall, the review argued that an integrated security approach is needed to protect cyber physical systems from internal and external cyber attacks.
Detailed Information
| Author: | ['Sanjay'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 5 |
| Language: | English |
| Format: | |
| Price: | FREE |
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