LCHI: Low-Order Correlation and High-Order Interaction Integrated Model Oriented to Network Intrusion Detection
Network intrusion poses a severe threat to the Internet of Things (IoT). Thus, it is essential to study information security protection technology in IoT. Learning sophisticated feature interactions is critical in improving detection accuracy for network intrusion. Despite significant progress, exis...
Guardado en:
Autores principales: | Shengwei Lei, Chunhe Xia, Tianbo Wang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Hindawi-Wiley
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/e6378b4b481d4ad0bbe5a0e2862fcc38 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Research on PDMA system based on complementary sequence and low complexity detection algorithm
por: Shufeng Li, et al.
Publicado: (2021) -
A General Order Reduction Method of Wideband Digital Predistortion Model Using Attention Mechanism
por: Zhijun Liu, et al.
Publicado: (2021) -
Enhancement of the correlation of the photons of thermal light
por: D.L. Khokhlov
Publicado: (2021) -
STCC: A SDN‐oriented TCP congestion control mechanism for datacenter network
por: Yu Tianfang, et al.
Publicado: (2021) -
Community Detection Algorithm Based on Intelligent Calculation of Complex Network Nodes
por: Yanjia Tian, et al.
Publicado: (2021)