Trustworthy and Reliable Deep-Learning-Based Cyberattack Detection in Industrial IoT-Reference-Cited by-同舟云学术

Trustworthy and Reliable Deep-Learning-Based Cyberattack Detection in Industrial IoT

Author:

Khan Fazlullah¹^ORCID,Alturki Ryan²^ORCID,Rahman Md Arafatur³^ORCID,Mastorakis Spyridon⁴^ORCID,Razzak Imran⁵^ORCID,Shah Syed Tauhidullah⁶

Affiliation:

1. Department of Computer Science, Abdul Wali Khan University Mardan, Mardan, Pakistan

2. Department of Information Science, College of Computer and Information Systems, Umm Al-Qura University, Makkah, Saudi Arabia

3. School of Mathematics and Computer Science, University of Wolverhampton, Wolverhampton, U.K.

4. Department of Computer Science, University of Nebraska, Omaha, NE, USA

5. School of Computer Science and Engineering, Faculty of Engineering, University of New South Wales Sydney, Sydney, NSW, Australia

6. Department of Software Engineering, University of Calgary, Calgary, AB, Canada

Funder

National Science Foundation

National Institutes of Health

University of Nebraska Collaboration Initiative

Nebraska Tobacco Settlement Biomedical Research Development Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

Reference22 articles.

1. Information Technology-Security Techniques-Information Security Risk Management,2018

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