:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Songma, Surasit, Netharn, Watcharakorn, Lorpunmanee, Siriluck
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security
Online Access:	https://arxiv.org/abs/2408.07729
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Optimized IoT Intrusion Detection using Machine Learning Technique
by: Mahmud, Muhammad Zawad, et al.
Published: (2024)

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

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

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

CITADEL: Continual Anomaly Detection for Enhanced Learning in IoT Intrusion Detection
by: Li, Elvin, et al.
Published: (2025)

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

Extending Adaptive Cruise Control with Machine Learning Intrusion Detection Systems
by: Othmane, Lotfi Ben, et al.
Published: (2026)

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

Shift Detection and Adaptation for Network Intrusion Detection
by: Mousavipour, Ehssan, 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)

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

The Role of Learning in Attacking ML-based Network Intrusion Detection
by: Domico, Kyle, et al.
Published: (2026)

Intrusion Detection System Using Deep Learning for Network Security
by: Chatterjee, Soham, et al.
Published: (2025)

SoK: Reshaping Research on Network Intrusion Detection Systems
by: Apruzzese, Giovanni
Published: (2026)

Always be Pre-Training: Representation Learning for Network Intrusion Detection with GNNs
by: Gu, Zhengyao, et al.
Published: (2024)

Intrusion Detection in Heterogeneous Networks with Domain-Adaptive Multi-Modal Learning
by: Varghese, Mabin Umman, et al.
Published: (2025)

Optimizing IoT Intrusion Detection with Tabular Foundation Models for Smart City Forensics
by: Al-Dahmani, Asma, et al.
Published: (2026)

Enhanced Convolution Neural Network with Optimized Pooling and Hyperparameter Tuning for Network Intrusion Detection
by: Sharma, Ayush Kumar, et al.
Published: (2024)

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

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

On the Challenges of Holistic Intrusion Detection in ICS
by: Lenz, Stefan, et al.
Published: (2026)

Leveraging Machine Learning Techniques in Intrusion Detection Systems for Internet of Things
by: Jamshidi, Saeid, et al.
Published: (2025)

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

Entente: Cross-silo Intrusion Detection on Network Log Graphs with Federated Learning
by: Xu, Jiacen, et al.
Published: (2025)

A Discrete Particle Swarm Optimizer for the Design of Cryptographic Boolean Functions
by: Mariot, Luca, et al.
Published: (2024)

Enhancing Automotive Security with a Hybrid Approach towards Universal Intrusion Detection System
by: Islam, Md Rezanur, et al.
Published: (2025)

Federated Learning-Enhanced Blockchain Framework for Privacy-Preserving Intrusion Detection in Industrial IoT
by: Ali, Anas, et al.
Published: (2025)

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

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

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

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)

Zero-Day Botnet Attack Detection in IoV: A Modular Approach Using Isolation Forests and Particle Swarm Optimization
by: Korba, Abdelaziz Amara, et al.
Published: (2025)

Evaluating The Explainability of State-of-the-Art Deep Learning-based Network Intrusion Detection Systems
by: Kumar, Ayush, et al.
Published: (2024)

Simplicity over Complexity: An ARN-Based Intrusion Detection Method for Industrial Control Network
by: Liu, Ziyi, et al.
Published: (2024)

Deployment Challenges of Industrial Intrusion Detection Systems
by: Wolsing, Konrad, et al.
Published: (2024)

Vehicular Intrusion Detection System for Controller Area Network: A Comprehensive Survey and Evaluation
by: Liu, Yangyang, et al.
Published: (2025)

ExpIDS: A Drift-adaptable Network Intrusion Detection System With Improved Explainability
by: Kumar, Ayush, et al.
Published: (2025)

Distributed Intrusion Detection in Dynamic Networks of UAVs using Few-Shot Federated Learning
by: Ceviz, Ozlem, et al.
Published: (2025)