A lightweight model design approach for few-shot malicious traffic classification

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: A lightweight model design approach for few-shot malicious traffic classification ; volume:14 ; number:1 ; day:21 ; month:10 ; year:2024 ; pages:1-15 ; date:12.2024
Scientific reports ; 14, Heft 1 (21.10.2024), 1-15, 12.2024

Creator: Wang, Ruonan
Huang, Minhuan
Zhao, Jinjing
Zhang, Hongzheng
Zhong, Wenjing
Zhang, Zhaowei
He, Liqiang

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-024-73342-7

URN: urn:nbn:de:101:1-2501092125316.709088629534

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:22 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Wang, Ruonan
Huang, Minhuan
Zhao, Jinjing
Zhang, Hongzheng
Zhong, Wenjing
Zhang, Zhaowei
He, Liqiang
SpringerLink (Online service)

Other Objects (12)

Few-shot anime pose transfer

Are LSTMs good few-shot learners?

Few-Shot Meta-Learning in Heterogeneous Contexts

Few-Shot Semantic Segmentation via Mask Aggregation

Multimodal few-shot classification without attribute embedding

Explaining Siamese networks in few-shot learning

Learning few-shot imitation as cultural transmission

Subspace Adaptation Prior for Few-Shot Learning

zweidimensionales bewegtes Bild

HoloDetect: Few-Shot Learning for Error Detection

Matching Compound Prototypes for Few-Shot Action Recognition

Dual selective knowledge transfer for few-shot classification

Epilepsy seizure prediction with few-shot learning method

Few-shot anime pose transfer

Are LSTMs good few-shot learners?

Few-Shot Meta-Learning in Heterogeneous Contexts

Few-Shot Semantic Segmentation via Mask Aggregation

Multimodal few-shot classification without attribute embedding

Explaining Siamese networks in few-shot learning

Learning few-shot imitation as cultural transmission

Subspace Adaptation Prior for Few-Shot Learning

zweidimensionales bewegtes Bild

HoloDetect: Few-Shot Learning for Error Detection

Matching Compound Prototypes for Few-Shot Action Recognition

Dual selective knowledge transfer for few-shot classification

Epilepsy seizure prediction with few-shot learning method

Few-shot anime pose transfer

Are LSTMs good few-shot learners?

Few-Shot Meta-Learning in Heterogeneous Contexts

Few-Shot Semantic Segmentation via Mask Aggregation

Multimodal few-shot classification without attribute embedding

Explaining Siamese networks in few-shot learning

Learning few-shot imitation as cultural transmission

Subspace Adaptation Prior for Few-Shot Learning

zweidimensionales bewegtes Bild

HoloDetect: Few-Shot Learning for Error Detection

Matching Compound Prototypes for Few-Shot Action Recognition

Dual selective knowledge transfer for few-shot classification

Epilepsy seizure prediction with few-shot learning method

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

A lightweight model design approach for few-shot malicious traffic classification

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Few-shot anime pose transfer

Are LSTMs good few-shot learners?

Few-Shot Meta-Learning in Heterogeneous Contexts

Few-Shot Semantic Segmentation via Mask Aggregation

Multimodal few-shot classification without attribute embedding

Explaining Siamese networks in few-shot learning

Learning few-shot imitation as cultural transmission

Subspace Adaptation Prior for Few-Shot Learning

HoloDetect: Few-Shot Learning for Error Detection

Matching Compound Prototypes for Few-Shot Action Recognition

Dual selective knowledge transfer for few-shot classification

Epilepsy seizure prediction with few-shot learning method

Few-shot anime pose transfer

Are LSTMs good few-shot learners?

Few-Shot Meta-Learning in Heterogeneous Contexts

Few-Shot Semantic Segmentation via Mask Aggregation

Multimodal few-shot classification without attribute embedding

Explaining Siamese networks in few-shot learning

Learning few-shot imitation as cultural transmission

Subspace Adaptation Prior for Few-Shot Learning

HoloDetect: Few-Shot Learning for Error Detection

Matching Compound Prototypes for Few-Shot Action Recognition

Dual selective knowledge transfer for few-shot classification

Epilepsy seizure prediction with few-shot learning method

Few-shot anime pose transfer

Are LSTMs good few-shot learners?

Few-Shot Meta-Learning in Heterogeneous Contexts

Few-Shot Semantic Segmentation via Mask Aggregation

Multimodal few-shot classification without attribute embedding

Explaining Siamese networks in few-shot learning

Learning few-shot imitation as cultural transmission

Subspace Adaptation Prior for Few-Shot Learning

HoloDetect: Few-Shot Learning for Error Detection

Matching Compound Prototypes for Few-Shot Action Recognition

Dual selective knowledge transfer for few-shot classification

Epilepsy seizure prediction with few-shot learning method

Related objects

Reset password