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Article
Peer-Review Record

Deep Learning-Based Intrusion Detection Methods in Cyber-Physical Systems: Challenges and Future Trends

Electronics 2022, 11(20), 3326; https://doi.org/10.3390/electronics11203326
by Muhammad Umer 1, Saima Sadiq 2, Hanen Karamti 3, Reemah M. Alhebshi 4, Khaled Alnowaiser 5, Ala’ Abdulmajid Eshmawi 6, Houbing Song 7,* and Imran Ashraf 8,*
Reviewer 1:
Reviewer 2:
Reviewer 3:
Electronics 2022, 11(20), 3326; https://doi.org/10.3390/electronics11203326
Submission received: 13 September 2022 / Revised: 27 September 2022 / Accepted: 30 September 2022 / Published: 15 October 2022

Round 1

Reviewer 1 Report


Comments for author File: Comments.pdf

Author Response

We have carefully addressed all of the concerns in the attached PDF file.

Author Response File: Author Response.pdf

Reviewer 2 Report

Is this paper survey?    If it is, I don't think it is engough.

there is a related work based on clustering: 

Intrusion Detection Based on Improved Density Peak Clustering for Imbalanced Data on Sensor-Cloud Systems, Journal of Systems Architecture. Volume 118, 2021:102212.

 

 

The authors only gave a vague list for open issues and directions, some of them should be more specific.

 

Author Response

We have carefully addressed all of the concerns in the attached PDF file.

Author Response File: Author Response.pdf

Reviewer 3 Report

Please see the attached file.

Comments for author File: Comments.pdf

Author Response

We have carefully addressed all of the concerns in the attached PDF file.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

There are two '2020' in ref [34] and [43], I think one is enough.

Reviewer 3 Report

The authors have addressed my concerns, no further comments.

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