"Towards achieving lightweight intrusion detection systems in Internet of ..."

Promise Ricardo Agbedanu et al. (2022)

> Home

Details and statistics

DOI: 10.12688/F1000RESEARCH.127732.1

access: open

type: Informal or Other Publication

metadata version: 2023-06-02

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/f1000research/AgbedanuMRGMA22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/f1000research/AgbedanuMRGMA22
Promise Ricardo Agbedanu, Richard Musabe, James Rwigema, Ignace Gatare, Theofrida Julius Maginga, Destiny Kwabla Amenyedzi:
Towards achieving lightweight intrusion detection systems in Internet of Things, the role of incremental machine learning: A systematic literature review. F1000Research 11: 1377 (2022)

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.