A systematic review of machine learning and deep learning techniques for anomaly detection in data mining
The growing use of the internet has increased the threat of cyberattacks. Anomaly detection systems are vital for protecting networks by spotting irregular activities. Various studies investigated anomaly detection techniques without a systematic approach. So far, the existing reviews mainly concern...
| Main Authors: | Tahir, Mahjabeen, Abdullah, Azizol, Izura Udzir, Nur, Azhar Kasmiran, Khairul |
|---|---|
| Format: | Article |
| Published: |
Taylor and Francis Ltd.
2025
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/118767/ |
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