Intrusion detection system in distributed cloud computing: Hybrid clustering and classification methods
- DOI
- 10.1016/j.measen.2022.100612
- Published
- 2023-02
- Container
- Measurement: Sensors
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.measen.2022.100612,
title = {Intrusion detection system in distributed cloud computing: Hybrid clustering and classification methods},
author = {K. Samunnisa and G. Sunil Vijaya Kumar and K. Madhavi},
year = {2023},
journal = {Measurement: Sensors},
doi = {10.1016/j.measen.2022.100612},
url = {https://doi.org/10.1016/j.measen.2022.100612}
}RIS
TY - JOUR TI - Intrusion detection system in distributed cloud computing: Hybrid clustering and classification methods AU - K. Samunnisa AU - G. Sunil Vijaya Kumar AU - K. Madhavi PY - 2023 JO - Measurement: Sensors DO - 10.1016/j.measen.2022.100612 UR - https://doi.org/10.1016/j.measen.2022.100612 ER -
APA
Samunnisa, K., Kumar, G. S. V., & Madhavi, K. (2023). Intrusion detection system in distributed cloud computing: Hybrid clustering and classification methods. Measurement: Sensors. https://doi.org/10.1016/j.measen.2022.100612
Source records
- crossref · retrieved 2026-09-25T17:29:15.206Z