Explainable Artificial Intelligence for Improving a Session-Based Malware Traffic Classification with Deep Learning

View Publication

Overview
Related items

Abstract:

No abstract specified

SEEK ID: https://publications.h-its.org/publications/1805

DOI: 10.1109/SSCI52147.2023.10371980

Research Groups: Data Mining and Uncertainty Quantification

Publication type: Journal

Journal: 2023 IEEE Symposium Series on Computational Intelligence (SSCI)

Book Title: 2023 IEEE Symposium Series on Computational Intelligence (SSCI)

Publisher: IEEE

Citation: 2023 IEEE Symposium Series on Computational Intelligence (SSCI),pp.850-855,IEEE

Date Published: 5th Dec 2023

Registered Mode: by DOI

Authors: Stefan Machmeier, Maximilian Hoecker, Vincent Heuveline

Help

Tree Split Graph

Submitter

Marcus Buchwald

Citation

Machmeier, S., Hoecker, M., & Heuveline, V. (2023). Explainable Artificial Intelligence for Improving a Session-Based Malware Traffic Classification with Deep Learning. In 2023 IEEE Symposium Series on Computational Intelligence (SSCI). 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE. https://doi.org/10.1109/ssci52147.2023.10371980

Activity

Views: 363

Created: 16th Feb 2024 at 13:15

Last updated: 5th Mar 2024 at 21:25

Explainable Artificial Intelligence for Improving a Session-Based Malware Traffic Classification with Deep Learning

Related items