Automated Threat Detection Using Flamingo Search Algorithm With Optimal Deep Learning on Cyber-Physical System Environment-Reference-Cited by-同舟云学术

Automated Threat Detection Using Flamingo Search Algorithm With Optimal Deep Learning on Cyber-Physical System Environment

Published:2023 Issue: Volume:11 Page:127669-127678
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alajmi Masoud¹^ORCID,Mengash Hanan Abdullah²^ORCID,Alqahtani Hamed³,Aljameel Sumayh S.⁴^ORCID,Hamza Manar Ahmed⁵^ORCID,Salama Ahmed S.⁶

Affiliation:

1. Department of Computer Engineering, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia

2. Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

3. Department of Information Systems, College of Computer Science, Center of Artificial Intelligence, Unit of Cybersecurity, King Khalid University, Abha, Saudi Arabia

4. Department of Computer Science, College of Computer Science and Information Technology, SAUDI ARAMCO Cybersecurity Chair, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

5. Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

6. Department of Electrical Engineering, Faculty of Engineering and Technology, Future University in Egypt, New Cairo, Egypt

Funder

Deanship of Scientific Research at King Khalid University for funding this work through large group Research Project

Princess Nourah bint Abdulrahman University Researchers Supporting Project number

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

SAUDI ARAMCO Cybersecurity Chair for funding this project

Prince Sattam bin Abdulaziz University project number

Future University in Egypt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10315004.pdf?arnumber=10315004

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4. Modified Elman Spike Neural Network for Identification and Control of Dynamic System

5. Novel Hybrid Model for Intrusion Prediction on Cyber Physical Systems’ Communication Networks based on Bio-inspired Deep Neural Network Structure