:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sánchez-Carballo, Estela, Melgarejo-Meseguer, Francisco M., Rojo-Álvarez, José Luis
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2601.16976
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Interpreting Manifolds and Graph Neural Embeddings from Internet of Things Traffic Flows
by: Feito-Casares, Enrique, et al.
Published: (2026)

Learning Reconstructive Embeddings in Reproducing Kernel Hilbert Spaces via the Representer Theorem
by: Feito-Casares, Enrique, et al.
Published: (2026)

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

Explainable Machine-Learning based Detection of Knee Injuries in Runners
by: Fuentes-Jiménez, David, et al.
Published: (2026)

Data Privacy Preservation on the Internet of Things
by: Sen, Jaydip, et al.
Published: (2023)

A Hierarchical IDS for Zero-Day Attack Detection in Internet of Medical Things Networks
by: Uddin, Md Ashraf, et al.
Published: (2025)

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

A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles
by: Uddin, Md Ashraf, et al.
Published: (2025)

Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams
by: Shaowang, Ted, et al.
Published: (2025)

Learning Semantic Association Rules from Internet of Things Data
by: Karabulut, Erkan, et al.
Published: (2024)

Prediction and Detection of Terminal Diseases Using Internet of Medical Things: A Review
by: Otapo, Akeem Temitope, et al.
Published: (2024)

Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space
by: Roy, Padmaksha, et al.
Published: (2023)

Trustworthy Intrusion Detection: Confidence Estimation Using Latent Space
by: Pitsiorlas, Ioannis, et al.
Published: (2024)

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

Diffusion-based Adversarial Purification for Intrusion Detection
by: Merzouk, Mohamed Amine, et al.
Published: (2024)

Hybrid RAG-empowered Multi-modal LLM for Secure Data Management in Internet of Medical Things: A Diffusion-based Contract Approach
by: Su, Cheng, et al.
Published: (2024)

The Internet of Things in the Era of Generative AI: Vision and Challenges
by: Wang, Xin, 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)

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

Reinforcement Learning-based Task Offloading in the Internet of Wearable Things
by: Qaim, Waleed Bin, et al.
Published: (2025)

Energy-Efficient Hierarchical Federated Anomaly Detection for the Internet of Underwater Things via Selective Cooperative Aggregation
by: Omeke, Kenechi, et al.
Published: (2026)

Latent Diffusion for Missing Data
by: Estad, Alberte Heering, et al.
Published: (2026)

Contrastive Continual Learning for Model Adaptability in Internet of Things
by: Chathoth, Ajesh Koyatan
Published: (2026)

Contrastive Learning for Privacy Enhancements in Industrial Internet of Things
by: Liu, Lin, et al.
Published: (2026)

A Hierarchical Federated Learning Approach for the Internet of Things
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2024)

From Generative AI to Generative Internet of Things: Fundamentals, Framework, and Outlooks
by: Wen, Jinbo, et al.
Published: (2023)

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection
by: Galwaduge, Vinura, et al.
Published: (2025)

A Lightweight Multi-Attack CAN Intrusion Detection System on Hybrid FPGAs
by: Khandelwal, Shashwat, et al.
Published: (2024)

Distributed Swarm Learning for Edge Internet of Things
by: Wang, Yue, et al.
Published: (2024)

Explainable Autoencoder-Based Anomaly Detection in IEC 61850 GOOSE Networks
by: Lozano-Paredes, Dafne, et al.
Published: (2026)

Detecting music deepfakes is easy but actually hard
by: Afchar, Darius, et al.
Published: (2024)

MAGE-ID: A Multimodal Generative Framework for Intrusion Detection Systems
by: Loodaricheh, Mahdi Arab, et al.
Published: (2025)

Multivariate Feature Selection and Autoencoder Embeddings of Ovarian Cancer Clinical and Genetic Data
by: Bote-Curiel, Luis, et al.
Published: (2025)

ShaTS: A Shapley-based Explainability Method for Time Series Artificial Intelligence Models applied to Anomaly Detection in Industrial Internet of Things
by: de la Peña, Manuel Franco, 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)

SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection
by: Vitorino, João, et al.
Published: (2023)

New Machine Learning Approaches for Intrusion Detection in ADS-B
by: Ngamboé, Mikaëla, et al.
Published: (2025)

Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute Attacks
by: Shao, Mingwen, et al.
Published: (2023)

Enhancing OOD Detection Using Latent Diffusion
by: Gao, Heng, et al.
Published: (2024)

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