Skip to main navigation
Skip to search
Skip to main content
EdUHK Research Repository Home
About the Repository
Home
Researchers
Research Units
Projects
Research Outputs
Prizes and Awards
KT Activities
Search by expertise, name or affiliation
Enhancing intrusion detection with feature selection and neural network
Chunhui WU,
Wenjuan LI
Department of Mathematics and Information Technology (MIT)
Research output
:
Contribution to journal
›
Articles
›
peer-review
43
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Enhancing intrusion detection with feature selection and neural network'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Anomaly Detection
50%
Computer Networks
50%
Copyright
50%
Detection Performance
50%
Feature Selection
100%
Feature Selection Methods
50%
Fluctuant
50%
Honeynet
50%
Intelligent Systems
50%
Intrusion Detection
100%
Intrusion Detection System
50%
KDD99
50%
Machine Learning Algorithms
50%
Neural Network
100%
Neural Network Ensemble
50%
Practical Performance
50%
Random Forest
50%
Real-world Application
50%
Selection Network
100%
Unknown Attacks
50%
Computer Science
Anomaly-Based Detection
33%
Computer Network
33%
Detection Performance
33%
Experimental Result
33%
Feature Selection
100%
Honeynets
33%
Intrusion Detection
100%
Intrusion Detection System
33%
Machine Learning Algorithm
33%
Neural Network
100%
Random Decision Forest
33%
Real Data Sets
33%
Related Feature
33%
Unknown Attack
33%
World Application
33%