ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2104.07183
  4. Cited By
Evaluating Standard Feature Sets Towards Increased Generalisability and
  Explainability of ML-based Network Intrusion Detection

Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection

15 April 2021
Mohanad Sarhan
S. Layeghy
Marius Portmann
ArXivPDFHTML

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
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
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
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
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