A Review of Deep Learning Applications in Intrusion Detection Systems: Overcoming Challenges in Spatiotemporal Feature Extraction and Data Imbalance

Ya Zhang, Ravie Chandren Muniyandi, Faizan Qamar

Open source

DOI
10.3390/app15031552
Published
02
Container
Applied Sciences
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/app15031552,
  title = {A Review of Deep Learning Applications in Intrusion Detection Systems: Overcoming Challenges in Spatiotemporal Feature Extraction and Data Imbalance},
  author = {Ya Zhang and Ravie Chandren Muniyandi and Faizan Qamar},
  year = {2025},
  journal = {Applied Sciences},
  doi = {10.3390/app15031552},
  url = {https://doi.org/10.3390/app15031552}
}

RIS

TY  - JOUR
TI  - A Review of Deep Learning Applications in Intrusion Detection Systems: Overcoming Challenges in Spatiotemporal Feature Extraction and Data Imbalance
AU  - Ya Zhang
AU  - Ravie Chandren Muniyandi
AU  - Faizan Qamar
PY  - 2025
JO  - Applied Sciences
DO  - 10.3390/app15031552
UR  - https://doi.org/10.3390/app15031552
ER  -

APA

Zhang, Y., Muniyandi, R. C., & Qamar, F. (2025). A Review of Deep Learning Applications in Intrusion Detection Systems: Overcoming Challenges in Spatiotemporal Feature Extraction and Data Imbalance. Applied Sciences. https://doi.org/10.3390/app15031552

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