Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2104.07183
Cited By
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection
15 April 2021
Mohanad Sarhan
S. Layeghy
Marius Portmann
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection"
5 / 5 papers shown
Title
Temporal Analysis of NetFlow Datasets for Network Intrusion Detection Systems
Majed Luay
S. Layeghy
Seyedehfaezeh Hosseininoorbin
Mohanad Sarhan
Nour Moustafa
Marius Portmann
55
0
0
06 Mar 2025
A Novel Approach to Network Traffic Analysis: the HERA tool
Daniela Pinto
Ivone Amorim
Eva Maia
Isabel Praça
40
1
0
13 Jan 2025
Exploring Feature Importance and Explainability Towards Enhanced ML-Based DoS Detection in AI Systems
Paul Badu Yakubu
Evans Owusu
Lesther Santana
Mohamed Rahouti
Abdellah Chehri
Kaiqi Xiong
AAML
16
0
0
04 Nov 2024
An Approach To Enhance IoT Security In 6G Networks Through Explainable AI
Navneet Kaur
Lav Gupta
25
0
0
04 Oct 2024
Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural Network
Renjie Xu
Guangwei Wu
Weiping Wang
Xing Gao
An He
Zhengpeng Zhang
SSL
30
19
0
03 Mar 2024
1