:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Akinie, Robert, Gyimah, Nana Kankam Brym, Bhavsar, Mansi, Kelly, John
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	https://arxiv.org/abs/2502.06099
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

An AutoML-based approach for Network Intrusion Detection
di: Gyimah, Nana Kankam, et al.
Pubblicazione: (2024)

Analyzing Factors Influencing Driver Willingness to Accept Advanced Driver Assistance Systems
di: Musau, Hannah, et al.
Pubblicazione: (2025)

Unraveling Pedestrian Fatality Patterns: A Comparative Study with Explainable AI
di: Sulle, Methusela, et al.
Pubblicazione: (2025)

Quantifying Catastrophic Forgetting in IoT Intrusion Detection Systems
di: Banerjee, Sourasekhar, et al.
Pubblicazione: (2026)

OptiFLIDS: Optimized Federated Learning for Energy-Efficient Intrusion Detection in IoT
di: Elouardi, Saida, et al.
Pubblicazione: (2025)

Hybrid Deep Learning-Federated Learning Powered Intrusion Detection System for IoT/5G Advanced Edge Computing Network
di: Baidar, Rasil, et al.
Pubblicazione: (2025)

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

Sentinel: Dynamic Knowledge Distillation for Personalized Federated Intrusion Detection in Heterogeneous IoT Networks
di: Singh, Gurpreet, et al.
Pubblicazione: (2025)

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

Dynamic Temporal Positional Encodings for Early Intrusion Detection in IoT
di: Panopoulos, Ioannis, et al.
Pubblicazione: (2025)

Adaptive Intrusion Detection for Evolving RPL IoT Attacks Using Incremental Learning
di: Bas, Sumeyye, et al.
Pubblicazione: (2025)

LEMDA: A Novel Feature Engineering Method for Intrusion Detection in IoT Systems
di: Ghubaish, Ali, et al.
Pubblicazione: (2024)

Efficient Network Traffic Feature Sets for IoT Intrusion Detection
di: Silva, Miguel, et al.
Pubblicazione: (2024)

Multiple-Input Auto-Encoder Guided Feature Selection for IoT Intrusion Detection Systems
di: Dinh, Phai Vu, et al.
Pubblicazione: (2024)

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

A Robust PPO-optimized Tabular Transformer Framework for Intrusion Detection in Industrial IoT Systems
di: She, Yuanya
Pubblicazione: (2025)

Enhancing IoT Security: A Novel Feature Engineering Approach for ML-Based Intrusion Detection Systems
di: Mahanipour, Afsaneh, et al.
Pubblicazione: (2024)

FLARE: Feature-based Lightweight Aggregation for Robust Evaluation of IoT Intrusion Detection
di: Boswell, Bradley, et al.
Pubblicazione: (2025)

A Prescriptive Framework for Determining Optimal Days for Short-Term Traffic Counts
di: Mukwaya, Arthur, et al.
Pubblicazione: (2025)

Intrusion Detection on Resource-Constrained IoT Devices with Hardware-Aware ML and DL
di: Diab, Ali, et al.
Pubblicazione: (2025)

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

Federated Isolation Forest for Efficient Anomaly Detection on Edge IoT Systems
di: Vasiljevic, Pavle, et al.
Pubblicazione: (2025)

Enhancing Autonomous Online Intrusion Detection for IoT with Balanced Learning, Reliable Pseudo-Labels, and Lightweight Architectures
di: Afzaal, Hanzala, et al.
Pubblicazione: (2026)

A Comparative Analysis of Machine Learning Models for Intrusion Detection in Intelligent Transport Systems
di: Sazid, Zawad Yalmie, et al.
Pubblicazione: (2026)

An Efficient Unsupervised Federated Learning Approach for Anomaly Detection in Heterogeneous IoT Networks
di: Tajgardan, Mohsen, et al.
Pubblicazione: (2026)

Efficient Personalized Federated PCA with Manifold Optimization for IoT Anomaly Detection
di: Xiu, Xianchao, et al.
Pubblicazione: (2026)

Exploring Robust Intrusion Detection: A Benchmark Study of Feature Transferability in IoT Botnet Attack Detection
di: Guerra-Manzanares, Alejandro, et al.
Pubblicazione: (2026)

Federated Structured Sparse PCA for Anomaly Detection in IoT Networks
di: Huang, Chenyi, et al.
Pubblicazione: (2025)

Federated Learning-Distillation Alternation for Resource-Constrained IoT
di: da Silva, Rafael Valente, et al.
Pubblicazione: (2025)

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

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

Smart IoT Security: Lightweight Machine Learning Techniques for Multi-Class Attack Detection in IoT Networks
di: Alve, Shahran Rahman, et al.
Pubblicazione: (2025)

In-network Attack Detection with Federated Deep Learning in IoT Networks: Real Implementation and Analysis
di: Chaudhary, Devashish, et al.
Pubblicazione: (2026)

Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series
di: Chen, Kuan-Cheng, et al.
Pubblicazione: (2025)

Lightweight Intrusion Detection in IoT via SHAP-Guided Feature Pruning and Knowledge-Distilled Kronecker Networks
di: Benaddi, Hafsa, et al.
Pubblicazione: (2025)

MI$^2$DAS: A Multi-Layer Intrusion Detection Framework with Incremental Learning for Securing Industrial IoT Networks
di: Lian, Wei, et al.
Pubblicazione: (2026)

Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks
di: Chaudhary, Devashish, et al.
Pubblicazione: (2026)

FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning
di: Lai, Phung, et al.
Pubblicazione: (2025)

A Comparative Analysis of Machine Learning Models for DDoS Detection in IoT Networks
di: Shakya, Sushil, et al.
Pubblicazione: (2024)

Improving IoT Intrusion Detection Through SMOTE-Based Oversampling and Extended Multi-Model Evaluation on Side-Channel Power Data
di: Shahzad, Muhammad Khuram, et al.
Pubblicazione: (2026)