Cargando…
Intrusion Detection of UAVs Based on the Deep Belief Network Optimized by PSO
With the rapid development of information technology, the problem of the network security of unmanned aerial vehicles (UAVs) has become increasingly prominent. In order to solve the intrusion detection problem of massive, high-dimensional, and nonlinear data, this paper proposes an intrusion detecti...
Autores principales: | Tan, Xiaopeng, Su, Shaojing, Zuo, Zhen, Guo, Xiaojun, Sun, Xiaoyong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960526/ https://www.ncbi.nlm.nih.gov/pubmed/31847361 http://dx.doi.org/10.3390/s19245529 |
Ejemplares similares
-
Wireless Sensor Networks Intrusion Detection Based on SMOTE and the Random Forest Algorithm
por: Tan, Xiaopeng, et al.
Publicado: (2019) -
Modulation Classification Using Compressed Sensing and Decision Tree–Support Vector Machine in Cognitive Radio System
por: Sun, Xiaoyong, et al.
Publicado: (2020) -
A First-Order Differential Data Processing Method for Accuracy Improvement of Complementary Filtering in Micro-UAV Attitude Estimation
por: Wen, Xudong, et al.
Publicado: (2019) -
Deep Stacking Network for Intrusion Detection
por: Tang, Yifan, et al.
Publicado: (2021) -
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
por: Balyan, Amit Kumar, et al.
Publicado: (2022)