Cover Image

HybridGuard: Enhancing Minority-Class Intrusion Detection in Dew-Enabled Edge-of-Things Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kara, Binayak, Sahua, Ujjwal, Thomas, Ciza, Sahoo, Jyoti Prakash
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AI-Driven Chatbot for Intrusion Detection in Edge Networks: Enhancing Cybersecurity with Ethical User Consent
by: Asif, Mugheez, et al.
Published: (2024)

Binary and Multi-Class Intrusion Detection in IoT Using Standalone and Hybrid Machine and Deep Learning Models
by: Akif, Md Ahnaf
Published: (2025)

Hybrid LLM-Enhanced Intrusion Detection for Zero-Day Threats in IoT Networks
by: Al-Hammouri, Mohammad F., et al.
Published: (2025)

Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis
by: Zhan, Zhonghao, et al.
Published: (2025)

Enhancing Intrusion Detection in IoT Environments: An Advanced Ensemble Approach Using Kolmogorov-Arnold Networks
by: Amouri, Amar, et al.
Published: (2024)

CANGuard: A Spatio-Temporal CNN-GRU-Attention Hybrid Architecture for Intrusion Detection in In-Vehicle CAN Networks
by: Sajib, Rakib Hossain, et al.
Published: (2026)

Lightweight Intrusion Detection System Using a Hybrid CNN and ConvNeXt-Tiny Model for Internet of Things Networks
by: Roshanzadeh, Fatemeh, et al.
Published: (2025)

Enhancing Network Intrusion Detection Systems: A Multi-Layer Ensemble Approach to Mitigate Adversarial Attacks
by: Soltani, Nasim, et al.
Published: (2026)

A Quantum Genetic Algorithm-Enhanced Self-Supervised Intrusion Detection System for Wireless Sensor Networks in the Internet of Things
by: Barati, Hamid
Published: (2025)

Enhancing IoT Security with CNN and LSTM-Based Intrusion Detection Systems
by: Gueriani, Afrah, et al.
Published: (2024)

Machine Learning-Assisted Intrusion Detection for Enhancing Internet of Things Security
by: Esmaeili, Mona, et al.
Published: (2024)

Multi-agent Reinforcement Learning-based Network Intrusion Detection System
by: Tellache, Amine, et al.
Published: (2024)

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
by: Yang, Wanrong, et al.
Published: (2024)

XAI-based Feature Selection for Improved Network Intrusion Detection Systems
by: Arreche, Osvaldo, et al.
Published: (2024)

Resource-Aware Deployment Optimization for Collaborative Intrusion Detection in Layered Networks
by: Gómez, André García, et al.
Published: (2026)

A Life-long Learning Intrusion Detection System for 6G-Enabled IoV
by: korba, Abdelaziz Amara, et al.
Published: (2024)

AI-Powered Hybrid Intrusion Detection Framework for Cloud Security Using Novel Metaheuristic Optimization
by: Alhusseini, Maryam Mahdi, et al.
Published: (2026)

Q-AGNN: Quantum-Enhanced Attentive Graph Neural Network for Intrusion Detection
by: Chaudhary, Devashish, et al.
Published: (2026)

Are We There Yet? Unraveling the State-of-the-Art Graph Network Intrusion Detection Systems
by: Wang, Chenglong, et al.
Published: (2025)

An Interpretable Generalization Mechanism for Accurately Detecting Anomaly and Identifying Networking Intrusion Techniques
by: Pai, Hao-Ting, et al.
Published: (2024)

Towards Ultra-Low Latency: Binarized Neural Network Architectures for In-Vehicle Network Intrusion Detection
by: Dong, Huiyao, et al.
Published: (2025)

Hybrid Machine Learning Models for Intrusion Detection in IoT: Leveraging a Real-World IoT Dataset
by: Akif, Md Ahnaf, et al.
Published: (2025)

xIDS-EnsembleGuard: An Explainable Ensemble Learning-based Intrusion Detection System
by: Adil, Muhammad, et al.
Published: (2025)

SAGE: Sample-Aware Guarding Engine for Robust Intrusion Detection Against Adversarial Attacks
by: Chen, Jing, et al.
Published: (2025)

Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks
by: Venturi, Andrea, et al.
Published: (2024)

An Investigation into the Performance of Non-Contrastive Self-Supervised Learning Methods for Network Intrusion Detection
by: Fard, Hamed, et al.
Published: (2025)

Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A Survey
by: Chaudhary, Devashish, et al.
Published: (2025)

TransLinkGuard: Safeguarding Transformer Models Against Model Stealing in Edge Deployment
by: Li, Qinfeng, et al.
Published: (2024)

Effective Intrusion Detection in Heterogeneous Internet-of-Things Networks via Ensemble Knowledge Distillation-based Federated Learning
by: Shen, Jiyuan, et al.
Published: (2024)

LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion Detection
by: Zhang, Aiheng, et al.
Published: (2023)

MA-IDS: Multi-Agent RAG Framework for IoT Network Intrusion Detection with an Experience Library
by: Islam, Md Shamimul, et al.
Published: (2026)

Strengthening Network Intrusion Detection in IoT Environments with Self-Supervised Learning and Few Shot Learning
by: Atitallah, Safa Ben, et al.
Published: (2024)

Transforming In-Vehicle Network Intrusion Detection: VAE-based Knowledge Distillation Meets Explainable AI
by: Yagiz, Muhammet Anil, et al.
Published: (2024)

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

FAST-IDS: A Fast Two-Stage Intrusion Detection System with Hybrid Compression for Real-Time Threat Detection in Connected and Autonomous Vehicles
by: S, Devika, et al.
Published: (2025)

Enhancing Network Intrusion Detection Performance using Generative Adversarial Networks
by: Zhao, Xinxing, et al.
Published: (2024)

WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems
by: M., Sameera K., et al.
Published: (2025)

Application of Deep Reinforcement Learning for Intrusion Detection in Internet of Things: A Systematic Review
by: Jamshidi, Saeid, et al.
Published: (2025)

X-Guard: Multilingual Guard Agent for Content Moderation
by: Upadhayay, Bibek, et al.
Published: (2025)

TEAM: Temporal Adversarial Examples Attack Model against Network Intrusion Detection System Applied to RNN
by: Liu, Ziyi, et al.
Published: (2024)