Towards Developing a Robust Intrusion Detection Model Using Hadoop-Spark and Data Augmentation for IoT Networks.

Manzano Sanchez RA, Zaman M, Goel N, Naik K, Joshi R

DOI: 10.3390/s22207726
Published: 2022 Oct 12
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s22207726,
  title = {Towards Developing a Robust Intrusion Detection Model Using Hadoop-Spark and Data Augmentation for IoT Networks.},
  author = {Manzano Sanchez RA and Zaman M and Goel N and Naik K and Joshi R},
  year = {2022},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s22207726},
  url = {https://doi.org/10.3390/s22207726}
}

RIS

TY  - JOUR
TI  - Towards Developing a Robust Intrusion Detection Model Using Hadoop-Spark and Data Augmentation for IoT Networks.
AU  - Manzano Sanchez RA
AU  - Zaman M
AU  - Goel N
AU  - Naik K
AU  - Joshi R
PY  - 2022
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s22207726
UR  - https://doi.org/10.3390/s22207726
ER  -

APA

RA, M. S., M, Z., N, G., K, N., & R, J. (2022). Towards Developing a Robust Intrusion Detection Model Using Hadoop-Spark and Data Augmentation for IoT Networks.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s22207726

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pubmed · retrieved 2026-09-26T10:01:00.909Z