Hybrid Metaheuristics With Machine Learning Based Botnet Detection in Cloud Assisted Internet of Things Environment-Reference-Cited by-同舟云学术

Hybrid Metaheuristics With Machine Learning Based Botnet Detection in Cloud Assisted Internet of Things Environment

Published:2023 Issue: Volume:11 Page:115668-115676
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Almuqren Latifah¹^ORCID,Alqahtani Hamed²,Aljameel Sumayh S.³^ORCID,Salama Ahmed S.⁴,Yaseen Ishfaq⁵^ORCID,Alneil Amani A.⁵

Affiliation:

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

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

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

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

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

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

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Prince Sattam bin Abdulaziz University project

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/ielx7/6287639/10005208/10272611.pdf?arnumber=10272611

Reference31 articles.

1. Multi-objective Particle Swarm Optimization for Botnet Detection in Internet of Things

2. A Hybrid Deep Learning Approach for Bottleneck Detection in IoT

3. Unsupervised intelligent system based on one class support vector machine and Grey Wolf optimization for IoT botnet detection

4. A Visualized Botnet Detection System Based Deep Learning for the Internet of Things Networks of Smart Cities

5. N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Attention-Driven Transfer Learning Model for Improved IoT Intrusion Detection;Big Data and Cognitive Computing;2024-09-09

2. DQ-NN and phantom routing for enhanced source location privacy for IoT under multiple source and destination;EURASIP Journal on Information Security;2024-09-05

3. Training Artificial Neural Network with a Cultural Algorithm;Neural Processing Letters;2024-08-27

4. Attack Detection with Optimal PSO Feature Selection with DTOHE Model;SN Computer Science;2024-05-18

5. Enhancing cybersecurity in cloud-assisted Internet of Things environments: A unified approach using evolutionary algorithms and ensemble learning;AIMS Mathematics;2024