"Adaptive Real-time Anomaly-based Intrusion Detection using Data Mining and ..."

Maher Salem (2014)

> Home

Details and statistics

DOI: —

access: closed

type: Book or Thesis

metadata version: 2021-07-17

- view
  - electronic edition @ nbn-resolving.org
  authority control:
- export record
  dblp key:
  - phd/dnb/Salem14
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/phd/dnb/Salem14
Maher Salem:
Adaptive Real-time Anomaly-based Intrusion Detection using Data Mining and Machine Learning Techniques. University of Kassel, 2014

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.