A data-driven approach for intrusion and anomaly detection using automated machine learning for the Internet of Things
- Type
- Retraction
- Notice date
- 3/9/2026 0:00
- Journal
- Soft Computing
- Publisher
- Springer - Nature Publishing Group
- Notice DOI
- 10.1007/s00500-026-11249-3
- Original paper DOI
- 10.1007/s00500-023-09037-4
Reasons
- Compromised Peer Review
- Concerns/Issues about Referencing/Attributions
- Investigation by Journal/Publisher
- Rogue Editor
- Unreliable Results and/or Conclusions