Optimal Feature Selection with Weight Optimised Deep Neural Network for Incremental Learning-Based Intrusion Detection in Fog Environment

@article{Abdussami2022OptimalFS,
  title={Optimal Feature Selection with Weight Optimised Deep Neural Network for Incremental Learning-Based Intrusion Detection in Fog Environment},
  author={Aftab Alam Abdussami and Mohammed Faizan Farooqui},
  journal={J. Inf. Knowl. Manag.},
  year={2022},
  volume={21},
  pages={2250042:1-2250042:33},
  url={https://api.semanticscholar.org/CorpusID:248978287}
}
A deep learning model is implemented for intrusion detection in a fog computing platform that optimises the testing weight using the proposed MAE-EFO by concerning the objective as to minimise the error difference between the predicted and actual results, thus enhancing the performance of new incremental data.
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4 Citations

4 Citations

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