Cargando…
Wireless Sensor Networks Intrusion Detection Based on SMOTE and the Random Forest Algorithm
With the wide application of wireless sensor networks in military and environmental monitoring, security issues have become increasingly prominent. Data exchanged over wireless sensor networks is vulnerable to malicious attacks due to the lack of physical defense equipment. Therefore, corresponding...
Autores principales: | Tan, Xiaopeng, Su, Shaojing, Huang, Zhiping, Guo, Xiaojun, Zuo, Zhen, Sun, Xiaoyong, Li, Longqing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339008/ https://www.ncbi.nlm.nih.gov/pubmed/30626020 http://dx.doi.org/10.3390/s19010203 |
Ejemplares similares
-
Intrusion Detection of UAVs Based on the Deep Belief Network Optimized by PSO
por: Tan, Xiaopeng, et al.
Publicado: (2019) -
Optimized Non-Cooperative Spectrum Sensing Algorithm in Cognitive Wireless Sensor Networks
por: Chen, Yangyi, et al.
Publicado: (2019) -
CURE-SMOTE algorithm and hybrid algorithm for feature selection and parameter optimization based on random forests
por: Ma, Li, et al.
Publicado: (2017) -
Intrusion-Aware Alert Validation Algorithm for Cooperative Distributed Intrusion Detection Schemes of Wireless Sensor Networks
por: Shaikh, Riaz Ahmed, et al.
Publicado: (2009) -
SMOTE-CD: SMOTE for compositional data
por: Nguyen, Teo, et al.
Publicado: (2023)