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A Machine Learning-based Approach to Build Zero False-Positive IPSs for
  Industrial IoT and CPS with a Case Study on Power Grids Security

A Machine Learning-based Approach to Build Zero False-Positive IPSs for Industrial IoT and CPS with a Case Study on Power Grids Security

IEEE transactions on industry applications (IEEE TIA), 2020
14 April 2020
M. Sayad Haghighi
F. Farivar
ArXiv (abs)PDFHTML

Papers citing "A Machine Learning-based Approach to Build Zero False-Positive IPSs for Industrial IoT and CPS with a Case Study on Power Grids Security"

3 / 3 papers shown
Automated False Positive Filtering for esNetwork Alerts
Automated False Positive Filtering for esNetwork Alerts
Guangyi Zhu
79
2
0
26 Aug 2022
Cybersecurity Challenges in the Offshore Oil and Gas Industry: An
  Industrial Cyber-Physical Systems (ICPS) Perspective
Cybersecurity Challenges in the Offshore Oil and Gas Industry: An Industrial Cyber-Physical Systems (ICPS) Perspective
A. S. Mohammed
P. Reinecke
Pete Burnap
Omer F. Rana
Eirini Anthi
AI4CE
193
38
0
23 Feb 2022
On the Security of Networked Control Systems in Smart Vehicle and its
  Adaptive Cruise Control
On the Security of Networked Control Systems in Smart Vehicle and its Adaptive Cruise Control
F. Farivar
M. Sayad Haghighi
A. Jolfaei
Sheng Wen
83
54
0
02 Aug 2020
1
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