Quantum particle Swarm optimized extreme learning machine for intrusion detection

Han Qi; Xinyu Liu; Abdullah Gani; Changqing Gong

doi:10.1007/s11227-024-06022-y

ScienceGate Book Chapters

JOURNAL ARTICLE

Quantum particle Swarm optimized extreme learning machine for intrusion detection

Han Qi Xinyu Liu Abdullah Gani Changqing Gong

Year: 2024 Journal: The Journal of Supercomputing Vol: 80 (10)Pages: 14622-14644 Publisher: Springer Science+Business Media

DOI: 10.1007/s11227-024-06022-y

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Intrusion detection system Particle swarm optimization Extreme learning machine Quantum Swarm behaviour Particle (ecology) Intrusion Artificial intelligence Machine learning Artificial neural network Physics

Metrics

Cited By

6.69

FWCI (Field Weighted Citation Impact)

Refs

0.92

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Fire Detection and Safety Systems

Physical Sciences → Engineering → Safety, Risk, Reliability and Quality

Quantum particle Swarm optimized extreme learning machine for intrusion detection

Metrics

Citation History

Topics

Related Documents

Quantum beetle swarm algorithm optimized extreme learning machine for intrusion detection

A hybrid Particle swarm optimization -Extreme Learning Machine approach for Intrusion Detection System

A New Extreme Learning Machine Optimized by Particle Swarm Optimization

An Improved Quantum Particle Swarm Algorithm Optimized Regularized Extreme Learning Machine for Short-Term Load Forecasting

Android Malware Detection Using Extreme Learning Machine Optimized with Swarm Intelligence