A Novel IoT-Based Explainable Deep Learning Framework for Intrusion Detection Systems

Zakaria Abou El Houda, Bouziane Brik, Sidi-Mohammed Senouci

Open source

DOI
10.1109/iotm.005.2200028
Published
2022-06
Container
IEEE Internet of Things Magazine
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Open access
unknown

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BibTeX

@article{allodium:10.1109/iotm.005.2200028,
  title = {A Novel IoT-Based Explainable Deep Learning Framework for Intrusion Detection Systems},
  author = {Zakaria Abou El Houda and Bouziane Brik and Sidi-Mohammed Senouci},
  year = {2022},
  journal = {IEEE Internet of Things Magazine},
  doi = {10.1109/iotm.005.2200028},
  url = {https://doi.org/10.1109/iotm.005.2200028}
}

RIS

TY  - JOUR
TI  - A Novel IoT-Based Explainable Deep Learning Framework for Intrusion Detection Systems
AU  - Zakaria Abou El Houda
AU  - Bouziane Brik
AU  - Sidi-Mohammed Senouci
PY  - 2022
JO  - IEEE Internet of Things Magazine
DO  - 10.1109/iotm.005.2200028
UR  - https://doi.org/10.1109/iotm.005.2200028
ER  -

APA

Houda, Z. A. E., Brik, B., & Senouci, S. (2022). A Novel IoT-Based Explainable Deep Learning Framework for Intrusion Detection Systems. IEEE Internet of Things Magazine. https://doi.org/10.1109/iotm.005.2200028

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