Cover Image

Unsupervised Anomaly Detection for Smart IoT Devices: Performance and Resource Comparison

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sami, Md. Sad Abdullah, Abid, Mushfiquzzaman
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Lightweight ML-Based Air Quality Prediction for IoT and Embedded Applications
by: Sami, Md. Sad Abdullah, et al.
Published: (2025)

Detecting Compromised IoT Devices Using Autoencoders with Sequential Hypothesis Testing
by: Mainuddin, Md, et al.
Published: (2024)

Smart Surveillance: Identifying IoT Device Behaviours using ML-Powered Traffic Analysis
by: Ryan, Reza, et al.
Published: (2025)

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

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

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

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

Enhancing IoT Cyber Attack Detection in the Presence of Highly Imbalanced Data
by: Haque, Md. Ehsanul, et al.
Published: (2025)

Designing Short-Stage CDC-XPUFs: Balancing Reliability, Cost, and Security in IoT Devices
by: Li, Gaoxiang, et al.
Published: (2024)

Lightweight Strategy for XOR PUFs as Security Primitives for Resource-constrained IoT device
by: Li, Gaoxiang, et al.
Published: (2022)

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

Optimizing IoT Threat Detection with Kolmogorov-Arnold Networks (KANs)
by: Emelianova, Natalia, et al.
Published: (2025)

Intelligent Detection of Non-Essential IoT Traffic on the Home Gateway
by: Palmese, Fabio, et al.
Published: (2025)

Evasion of IoT Malware Detection via Dummy Code Injection
by: Zargarzadeh, Sahar, et al.
Published: (2026)

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

An Optimized Decision Tree-Based Framework for Explainable IoT Anomaly Detection
by: Ashikuzzaman, et al.
Published: (2026)

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

Towards Efficient Machine Learning Method for IoT DDoS Attack Detection
by: Modi, P
Published: (2024)

Smart Railway Obstruction Detection System using IoT and Computer Vision
by: Kumar, Pravin, et al.
Published: (2026)

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

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

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

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

Empowering IoT Security: On-Device Intrusion Detection in Resource Constrained Devices
by: Ieropoulos, Vasilis, et al.
Published: (2026)

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

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

SunBlock: Cloudless Protection for IoT Systems
by: Safronov, Vadim, et al.
Published: (2024)

How the Graph Construction Technique Shapes Performance in IoT Botnet Detection
by: Wasswa, Hassan, et al.
Published: (2026)

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

A Novel Ensemble Learning Approach for Enhanced IoT Attack Detection: Redefining Security Paradigms in Connected Systems
by: Abdeljaber, Hikmat A. M., et al.
Published: (2025)

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

On-Device Interpretable Tsetlin Machine-Based Intrusion Detection for Secure IoMT
by: Jaiswal, Rahul, et al.
Published: (2026)

Adaptive and Robust Data Poisoning Detection and Sanitization in Wearable IoT Systems using Large Language Models
by: Mithsara, W. K. M, et al.
Published: (2025)

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

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

Self-adaptive Traffic Anomaly Detection System for IoT Smart Home Environments
by: Watanabe, Naoto, et al.
Published: (2024)

Dynamic Black-box Backdoor Attacks on IoT Sensory Data
by: Chathoth, Ajesh Koyatan, et al.
Published: (2025)

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

KESIC: Kerberos Extensions for Smart, IoT and CPS Devices
by: Prapty, Renascence Tarafder, et al.
Published: (2024)

Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies
by: Lau, Matthew, et al.
Published: (2025)