Improved Radial Movement Optimization With Fuzzy Neural Network Enabled Anomaly Detection for IoT Assisted Smart Cities-Reference-Cited by-同舟云学术

Improved Radial Movement Optimization With Fuzzy Neural Network Enabled Anomaly Detection for IoT Assisted Smart Cities

Published:2023 Issue: Volume:11 Page:143060-143068
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alrayes Fatma S.¹^ORCID,Mtouaa Wafa²,Aljameel Sumayh S.³^ORCID,Maashi Mashael⁴^ORCID,Rizwanullah Mohammed⁵,Salama Ahmed S.⁶^ORCID

Affiliation:

1. Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh, Saudi Arabia

2. Department of Mathematics, Faculty of Sciences and Arts, King Khalid University, Muhayil, Asir, Saudi Arabia

3. Department of Software Engineering, College of Computer and Information Sciences, King Saud University, P.O. Box 103786, Riyadh, 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 & 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. Research Supporting Project number

King Saud 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/ielx7/6287639/10005208/10355963.pdf?arnumber=10355963

Reference27 articles.

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2. Deep neural network based anomaly detection in Internet of Things network traffic tracking for the applications of future smart cities

3. Deep Learning Based Anomaly Detection for Fog-Assisted IoVs Network

4. Anomalies Detection on Attached IoT Device at Cattle Body in Smart Cities Areas Using Deep Learning

5. Ensemble learning based anomaly detection for IoT cybersecurity via Bayesian hyperparameters sensitivity analysis;Lai;arXiv:2307.10596,2023