"Intrusion detection systems for IoT based on bio-inspired and machine ..."

Rafika Saadouni et al. (2024)

> Home

Details and statistics

DOI: 10.1007/S10586-024-04388-5

access: closed

type: Journal Article

metadata version: 2024-10-06

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/cluster/SaadouniGAHK24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/cluster/SaadouniGAHK24
Rafika Saadouni, Chirihane Gherbi, Zibouda Aliouat, Yasmine Harbi, Amina Khacha:
Intrusion detection systems for IoT based on bio-inspired and machine learning techniques: a systematic review of the literature. Clust. Comput. 27(7): 8655-8681 (2024)

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.