A Generalizable Approach for Network Flow Image Representation for Deep Learning

Abstract:
No abstract specified

SEEK ID: https://publications.h-its.org/publications/1804

DOI: 10.1109/CSNet59123.2023.10339761

Research Groups: Data Mining and Uncertainty Quantification

Publication type: Journal

Journal: 2023 7th Cyber Security in Networking Conference (CSNet)

Book Title: 2023 7th Cyber Security in Networking Conference (CSNet)

Publisher: IEEE

Citation: 2023 7th Cyber Security in Networking Conference (CSNet),pp.57-61,IEEE

Date Published: 16th Oct 2023

Registered Mode: by DOI

Authors: Stefan Machmeier, Manuel Trageser, Marcus Buchwald, Vincent Heuveline

help Submitter
Citation
Machmeier, S., Trageser, M., Buchwald, M., & Heuveline, V. (2023). A Generalizable Approach for Network Flow Image Representation for Deep Learning. In 2023 7th Cyber Security in Networking Conference (CSNet). 2023 7th Cyber Security in Networking Conference (CSNet). IEEE. https://doi.org/10.1109/csnet59123.2023.10339761
Activity

Views: 552

Created: 16th Feb 2024 at 13:05

Last updated: 5th Mar 2024 at 21:25

help Tags

This item has not yet been tagged.

help Attributions

None

Powered by
(v.1.14.2)
Copyright © 2008 - 2023 The University of Manchester and HITS gGmbH