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Unveiling the potential of Graph Neural Networks for robust Intrusion
  Detection

Unveiling the potential of Graph Neural Networks for robust Intrusion Detection

30 July 2021
David Pujol-Perich
José Suárez-Varela
A. Cabellos-Aparicio
Pere Barlet-Ros
    OODAAML
ArXiv (abs)PDFHTML

Papers citing "Unveiling the potential of Graph Neural Networks for robust Intrusion Detection"

11 / 11 papers shown
Title
Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection
Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection
Songtao Peng
Lei Wang
Wu Shuai
Hao Song
Jiajun Zhou
Shanqing Yu
Qi Xuan
136
0
0
01 Apr 2025
CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection
CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection
Md Abrar Jahin
Siyang Song
M. F. Mridha
Raihan Kabir
Md. Rashedul Islam
Yutaka Watanobe
Hezerul Abdul Karim
107
0
0
02 Mar 2025
XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model
XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model
Yasir Ali Farrukh
S. Wali
I. Khan
Nathaniel D. Bastian
468
3
0
27 Aug 2024
Survey of Graph Neural Network for Internet of Things and NextG Networks
Survey of Graph Neural Network for Internet of Things and NextG Networks
Sabarish Krishna Moorthy
Jithin Jagannath
76
2
0
27 May 2024
Problem space structural adversarial attacks for Network Intrusion
  Detection Systems based on Graph Neural Networks
Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks
Andrea Venturi
Dario Stabili
Mirco Marchetti
AAML
74
1
0
18 Mar 2024
PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology
  Optimization
PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization
Ziqi Yuan
Haoyi Zhou
Tianyu Chen
Jianxin Li
57
3
0
19 Jan 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Shaswata Mitra
Trisha Chakraborty
Subash Neupane
Aritran Piplai
Sudip Mittal
AAML
105
5
0
11 Jan 2024
Detecting Contextual Network Anomalies with Graph Neural Networks
Detecting Contextual Network Anomalies with Graph Neural Networks
Hamid Latif
José Suárez-Varela
A. Cabellos-Aparicio
Pere Barlet-Ros
AI4TS
46
2
0
11 Dec 2023
Enhancing IoT Security via Automatic Network Traffic Analysis: The
  Transition from Machine Learning to Deep Learning
Enhancing IoT Security via Automatic Network Traffic Analysis: The Transition from Machine Learning to Deep Learning
Mounia Hamidouche
Eugeny Popko
B. Ouni
26
5
0
20 Nov 2023
Efficient Network Representation for GNN-based Intrusion Detection
Efficient Network Representation for GNN-based Intrusion Detection
Hamdi Friji
Alexis Olivereau
M. Sarkiss
43
5
0
11 Sep 2023
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for
  Traffic Demand Forecasting: An Edge-Computing Approach
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach
Mahmoud Nazzal
Abdallah Khreishah
Joyoung Lee
Shaahin Angizi
Ala I. Al-Fuqaha
Mohsen Guizani
82
9
0
28 Feb 2023
1