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Unsupervised monitoring of network and service behaviour using self organizing maps
Duc C. Le,
A. Nur Zincir-Heywood
,
Malcolm I. Heywood
Environmental Science
Biochemistry, Genetics and Molecular Biology
科研成果
:
期刊稿件
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文章
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同行评审
12
引用 (Scopus)
综述
指纹
指纹
探究 'Unsupervised monitoring of network and service behaviour using self organizing maps' 的科研主题。它们共同构成独一无二的指纹。
分类
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Keyphrases
Self-organizing Map
100%
Network Behavior
100%
Unsupervised Monitoring
100%
Unsupervised Learning Techniques
100%
Service Behavior
100%
Botnet
66%
Malicious Behavior
66%
Popular
33%
Systems-based
33%
Intrusion Detection System
33%
Publicly Available
33%
Anomaly Detection System
33%
Network Traffic
33%
Service Data
33%
Machine Learning Approach
33%
In the Wild
33%
Network Traffic Flow
33%
The Self
33%
Training Set
33%
Botnet Detection
33%
Security Management
33%
Unknown Traffic
33%
Data Analytics System
33%
Botnet Analysis
33%
Effective Network
33%
Data Analytics Tools
33%
Network Services
33%
Web Server
33%
Supervised Learning Method
33%
Service Request
33%
Data Analytics for Security
33%
Cybersecurity Risk
33%
Attack Behavior
33%
Web Services
33%
Acquisition Conditions
33%
Web Requests
33%
Unseen Attacks
33%
Computer Science
Data Analytics
100%
Botnets
100%
Organizing Map
100%
Unsupervised Learning
100%
Service Behavior
100%
Network Traffic
66%
Malicious Behavior
66%
Learning Technique
66%
Anomaly Detection
33%
Machine Learning Approach
33%
Security Management
33%
Service Request
33%
Web Server
33%
Analytics Tool
33%
Cybersecurity
33%
Web Service
33%
Supervised Learning
33%
Analytics System
33%
Network Service
33%