Cover Image

KiNETGAN: Enabling Distributed Network Intrusion Detection through Knowledge-Infused Synthetic Data Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kotal, Anantaa, Luton, Brandon, Joshi, Anupam
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

KIPPS: Knowledge infusion in Privacy Preserving Synthetic Data Generation
by: Kotal, Anantaa, et al.
Published: (2024)

Differentially Private Synthetic Data Generation Using Context-Aware GANs
by: Kotal, Anantaa, et al.
Published: (2025)

Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis
by: Kotal, Anantaa, et al.
Published: (2023)

PrivComp-KG : Leveraging Knowledge Graph and Large Language Models for Privacy Policy Compliance Verification
by: Garza, Leon, et al.
Published: (2024)

FAIRPLAI: A Human-in-the-Loop Approach to Fair and Private Machine Learning
by: Sanchez Jr., David, et al.
Published: (2025)

A Temporal Convolutional Network-based Approach for Network Intrusion Detection
by: Nazre, Rukmini, et al.
Published: (2024)

Shift Detection and Adaptation for Network Intrusion Detection
by: Mousavipour, Ehssan, et al.
Published: (2025)

AgentCyTE: Leveraging Agentic AI to Generate Cybersecurity Training & Experimentation Scenarios
by: Rodriguez, Ana M., et al.
Published: (2025)

Feature Selection for Network Intrusion Detection
by: Westphal, Charles, et al.
Published: (2024)

SCGNet-Stacked Convolution with Gated Recurrent Unit Network for Cyber Network Intrusion Detection and Intrusion Type Classification
by: Akter, Rajana, et al.
Published: (2024)

Evaluating Tabular Representation Learning for Network Intrusion Detection
by: Butt, Muhammad Usman, et al.
Published: (2026)

Elevating Intrusion Detection and Security Fortification in Intelligent Networks through Cutting-Edge Machine Learning Paradigms
by: Munna, Md Minhazul Islam, et al.
Published: (2025)

Enhanced Intrusion Detection System for Multiclass Classification in UAV Networks
by: Menssouri, Safaa, et al.
Published: (2024)

Self-Supervised Learning of Graph Representations for Network Intrusion Detection
by: Guerra, Lorenzo, et al.
Published: (2025)

IntrusionX: A Hybrid Convolutional-LSTM Deep Learning Framework with Squirrel Search Optimization for Network Intrusion Detection
by: Farabi, Ahsan, et al.
Published: (2025)

Investigating Application of Deep Neural Networks in Intrusion Detection System Design
by: Jeje, Mofe O.
Published: (2025)

An Efficient Privacy-preserving Intrusion Detection Scheme for UAV Swarm Networks
by: Gharami, Kanchon, et al.
Published: (2025)

Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification
by: Talpini, Jacopo, et al.
Published: (2023)

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network
by: Althunayyan, Muzun, et al.
Published: (2025)

Robust Semi-Supervised Temporal Intrusion Detection for Adversarial Cloud Networks
by: Chattopadhyay, Anasuya, et al.
Published: (2026)

Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural Network
by: Xu, Renjie, et al.
Published: (2024)

Exploring the Effect of DNN Depth on Adversarial Attacks in Network Intrusion Detection Systems
by: ElShehaby, Mohamed, et al.
Published: (2025)

HybridGuard: Enhancing Minority-Class Intrusion Detection in Dew-Enabled Edge-of-Things Networks
by: Kara, Binayak, et al.
Published: (2025)

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge
by: Broggi, Alexandre, et al.
Published: (2025)

SAFE: Self-Supervised Anomaly Detection Framework for Intrusion Detection
by: Li, Elvin, et al.
Published: (2025)

CND-IDS: Continual Novelty Detection for Intrusion Detection Systems
by: Fuhrman, Sean, et al.
Published: (2025)

A Conditional Tabular GAN-Enhanced Intrusion Detection System for Rare Attacks in IoT Networks
by: Menssouri, Safaa, et al.
Published: (2025)

Enhancing Adversarial Robustness in Network Intrusion Detection: A Layer-wise Adaptive Regularization Approach
by: Nasir, Hira, et al.
Published: (2026)

Flow Exporter Impact on Intelligent Intrusion Detection Systems
by: Pinto, Daniela, et al.
Published: (2024)

IT Intrusion Detection Using Statistical Learning and Testbed Measurements
by: Wang, Xiaoxuan, et al.
Published: (2024)

Robust Intrusion Detection System with Explainable Artificial Intelligence
by: Paltun, Betül Güvenç, et al.
Published: (2025)

Intrusion Detection in Internet of Vehicles Using Machine Learning
by: Le, Hop, et al.
Published: (2025)

On the Cross-Dataset Generalization of Machine Learning for Network Intrusion Detection
by: Cantone, Marco, et al.
Published: (2024)

Generative Active Adaptation for Drifting and Imbalanced Network Intrusion Detection
by: Gupta, Ragini, et al.
Published: (2025)

A Tsetlin Machine-driven Intrusion Detection System for Next-Generation IoMT Security
by: Jaiswal, Rahul, et al.
Published: (2026)

A-THENA: Early Intrusion Detection for IoT with Time-Aware Hybrid Encoding and Network-Specific Augmentation
by: Panopoulos, Ioannis, et al.
Published: (2026)

SDNGuardStack: An Explainable Ensemble Learning Framework for High-Accuracy Intrusion Detection in Software-Defined Networks
by: Ashikuzzaman, et al.
Published: (2026)

A Defensive Framework Against Adversarial Attacks on Machine Learning-Based Network Intrusion Detection Systems
by: Tafreshian, Benyamin, et al.
Published: (2025)

Intrusion Detection in IoT Networks Using Hyperdimensional Computing: A Case Study on the NSL-KDD Dataset
by: Ghajari, Ghazal, et al.
Published: (2025)

Open Set Dandelion Network for IoT Intrusion Detection
by: Wu, Jiashu, et al.
Published: (2023)