About this document
Data Driven Physical Modelling For Intrusion Detection in Physical by kekerara12 is a document available to read on EtoBox.
The document discusses a data-driven approach for intrusion detection in Cyber Physical Systems (CPS), particularly focusing on a machine learning method that detects attacks at the physical process layer. It highlights the vulnerabilities of CPS to cyber attacks and critiques traditional intrusion detection systems for their limitations. The proposed approach is validated using the Secure Water Treatment (SWaT) testbed, demonstrating its effectiveness in quickly and accurately identifying intrusions with l
- Author
- kekerara12
- Language
- EN