Hybrid Approach for Improving Intrusion Detection Based on Deep Learning and Machine Learning Techniques

Merna Gamal, Hala Abbas, Rowayda Sadek. Hybrid Approach for Improving Intrusion Detection Based on Deep Learning and Machine Learning Techniques. In Aboul Ella Hassanien, Ahmad Taher Azar, Tarek Gaber, Diego Oliva, Mohamed Fahmy Tolba, editors, Proceedings of the International Conference on Artificial Intelligence and Computer Vision, AICV 2020, Cairo, Egypt, 8-10 April, 2020. Volume 1153 of Advances in Intelligent Systems and Computing, pages 225-236, Springer, 2020. [doi]

@inproceedings{GamalAS20,
  title = {Hybrid Approach for Improving Intrusion Detection Based on Deep Learning and Machine Learning Techniques},
  author = {Merna Gamal and Hala Abbas and Rowayda Sadek},
  year = {2020},
  doi = {10.1007/978-3-030-44289-7_22},
  url = {https://doi.org/10.1007/978-3-030-44289-7_22},
  researchr = {https://researchr.org/publication/GamalAS20},
  cites = {0},
  citedby = {0},
  pages = {225-236},
  booktitle = {Proceedings of the International Conference on Artificial Intelligence and Computer Vision, AICV 2020, Cairo, Egypt, 8-10 April, 2020},
  editor = {Aboul Ella Hassanien and Ahmad Taher Azar and Tarek Gaber and Diego Oliva and Mohamed Fahmy Tolba},
  volume = {1153},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-030-44289-7},
}