Hybrid Deep Neural Network - Hidden Markov Model Based Network Traffic Classification

Tan, Xincheng; Xie, Yi

doi:10.1007/978-3-030-06161-6_59

Search citation statements

Order By: Relevance

Paper Sections

Select...

Classification Algorithms1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, an algorithm capable of effectively classifying sequential data of varying lengths is necessary for SSR. Various algorithms have been employed for sequence classification tasks, including dynamic time warping (DTW) [44], [45], [46], [47], [48], long short-term memory (LSTM) [49], [50], bidirectional long short-term memory (BLSTM) [51], [52], Gaussian mixture model-hidden Markov model (GMM-HMM) [53], [54], [55], [56], [57], and deep neural network-hidden Markov model (DNN-HMM) [58], [59].…”

Section: Classification Algorithmsmentioning

confidence: 99%