:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Raeiszadeh, Mahsa, Ebrahimzadeh, Amin, Glitho, Roch H., Eker, Johan, Mini, Raquel A. F.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2601.03085
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Explainable Anomaly Detection for Industrial IoT Data Streams
by: Paupério, Ana Rita, et al.
Published: (2025)

Digital Twin-Driven Communication-Efficient Federated Anomaly Detection for Industrial IoT
by: Belay, Mohammed Ayalew, et al.
Published: (2026)

Anomaly Detection for IoT Global Connectivity
by: Iglesias, Jesus Omaña, et al.
Published: (2025)

TinyML for Acoustic Anomaly Detection in IoT Sensor Networks
by: Almaini, Amar, et al.
Published: (2026)

Time Series Anomaly Detection with CNN for Environmental Sensors in Healthcare-IoT
by: Khatun, Mirza Akhi, et al.
Published: (2024)

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

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

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

Modeling Quantum Autoencoder Trainable Kernel for IoT Anomaly Detection
by: Chandrasekhar, Swathi, et al.
Published: (2025)

Federated PCA on Grassmann Manifold for IoT Anomaly Detection
by: Nguyen, Tung-Anh, et al.
Published: (2024)

Towards General Industrial Intelligence: A Survey of Continual Large Models in Industrial IoT
by: Chen, Jiao, et al.
Published: (2024)

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

Online Continual Learning for Anomaly Detection in IoT under Data Distribution Shifts
by: Marinova, Matea, et al.
Published: (2026)

SHIELD: Securing Healthcare IoT with Efficient Machine Learning Techniques for Anomaly Detection
by: Desai, Mahek, et al.
Published: (2025)

A Multi-Step Comparative Framework for Anomaly Detection in IoT Data Streams
by: Al-Qudah, Mohammed, et al.
Published: (2025)

Network Anomaly Detection for IoT Using Hyperdimensional Computing on NSL-KDD
by: Ghajari, Ghazal, et al.
Published: (2025)

Unsupervised Anomaly Detection for Smart IoT Devices: Performance and Resource Comparison
by: Sami, Md. Sad Abdullah, et al.
Published: (2025)

Binary Anomaly Detection in Streaming IoT Traffic under Concept Drift
by: Carnier, Rodrigo Matos, et al.
Published: (2025)

Adaptive Composition of Machine Learning as a Service (MLaaS) for IoT Environments
by: Kanneganti, Deepak, et al.
Published: (2025)

Adaptive and Explainable AI Agents for Anomaly Detection in Critical IoT Infrastructure using LLM-Enhanced Contextual Reasoning
by: Sharma, Raghav, et al.
Published: (2025)

Multimodal Real-Time Anomaly Detection and Industrial Applications
by: Verma, Aman, et al.
Published: (2025)

Detection of Global Anomalies on Distributed IoT Edges with Device-to-Device Communication
by: Ochiai, Hideya, et al.
Published: (2024)

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

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

Enhancing Cybersecurity in IoT Networks: A Deep Learning Approach to Anomaly Detection
by: Pang, Yining, et al.
Published: (2024)

Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments
by: Sponner, Max, et al.
Published: (2024)

Federated Hyperdimensional Computing for Resource-Constrained Industrial IoT
by: Zeulin, Nikita, et al.
Published: (2026)

SD-CGAN: Conditional Sinkhorn Divergence GAN for DDoS Anomaly Detection in IoT Networks
by: Onyeka, Henry, et al.
Published: (2025)

Uncovering and Understanding FPR Manipulation Attack in Industrial IoT Networks
by: Ahsan, Mohammad Shamim, et al.
Published: (2026)

A Transfer Learning Framework for Anomaly Detection in Multivariate IoT Traffic Data
by: Rezakhani, Mahshid, et al.
Published: (2025)

Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis
by: Gkillas, Alexandros, et al.
Published: (2024)

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

Adaptive State-Space Mamba for Real-Time Sensor Data Anomaly Detection
by: Zhang, Alice, et al.
Published: (2025)

Unsupervised Anomaly Detection in Process-Complex Industrial Time Series: A Real-World Case Study
by: Krasnikov, Sergej, et al.
Published: (2026)

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

Bandwidth Allocation with Device Partitioning for Federated Learning over Industrial IoT networks
by: Kim, Kangmin, et al.
Published: (2026)

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

Self-Evolving Multi-Agent Network for Industrial IoT Predictive Maintenance
by: Saleh, Rebin, et al.
Published: (2026)

Robust Anomaly Detection in Industrial Environments via Meta-Learning
by: Aqeel, Muhammad, et al.
Published: (2025)

Toward Real-World IoT Security: Concept Drift-Resilient IoT Botnet Detection via Latent Space Representation Learning and Alignment
by: Wasswa, Hassan, et al.
Published: (2025)