Skip to main navigation
Skip to search
Skip to main content
University of Birmingham Home
Help & FAQ
Home
Research output
Profiles
Research units
Projects
Activities
Datasets
Equipment
Prizes
Press/Media
Search by expertise, name or affiliation
Machine learning approaches to network intrusion detection for contemporary internet traffic
M.U. Ilyas
, S.A. Alharbi
Computer Science
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Machine learning approaches to network intrusion detection for contemporary internet traffic'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Network Intrusion Detection
100%
Internet Traffic
77%
Machine Learning
54%
Attack
50%
Intrusion Detection System
50%
Classifier
41%
Infrastructure
34%
Web 2.0
25%
Mobile Computing
24%
Fold
22%
Social Media
22%
Data Center
20%
Network Traffic
19%
Government
16%
Computer Networks
16%
Detector
14%
Performance
14%
Cross-validation
13%
Availability
13%
Business
13%
Large Set
13%
Trends
12%
Communication
11%
Trace
9%
Line
8%
Computing
7%
Invariant
6%
Generalization
6%
Class
3%
Media Streaming
1%
Engineering & Materials Science
Intrusion detection
50%
Machine learning
36%
Classifiers
34%
Internet
33%
Media streaming
21%
Secure communication
18%
Computer networks
16%
Security of data
15%
Mobile computing
13%
Detectors
12%
Availability
11%
Industry
7%