Cargando…
Multi-Step Attack Detection Based on Pre-Trained Hidden Markov Models
Currently, hidden Markov-based multi-step attack detection models are mainly trained using the unsupervised Baum–Welch algorithm. The Baum–Welch algorithm is sensitive to the initial values of model parameters. However, its training uses random or average parameter initialization methods, which freq...
Autores principales: | Zhang, Xu, Wu, Ting, Zheng, Qiuhua, Zhai, Liang, Hu, Haizhong, Yin, Weihao, Zeng, Yingpei, Cheng, Chuanhui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026394/ https://www.ncbi.nlm.nih.gov/pubmed/35458857 http://dx.doi.org/10.3390/s22082874 |
Ejemplares similares
-
Multi-parameter photon-by-photon hidden Markov modeling
por: Harris, Paul David, et al.
Publicado: (2022) -
Riboswitch Detection Using Profile Hidden Markov Models
por: Singh, Payal, et al.
Publicado: (2009) -
MultiFuzz: A Coverage-Based Multiparty-Protocol Fuzzer for IoT Publish/Subscribe Protocols
por: Zeng, Yingpei, et al.
Publicado: (2020) -
Inference in Hidden Markov Models
por: Cappe, Olivier
Publicado: (2005) -
Hidden Markov Modeling with HMMTeacher
por: Fuentes-Beals, Camilo, et al.
Publicado: (2022)