Image de couverture de livre

Enhancing Cybersecurity in IoT Networks: A Deep Learning Approach to Anomaly Detection

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Pang, Yining, Li, Chenghan
Format:	Preprint
Publié:	2024
Sujets:	Cryptography and Security Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Network Anomaly Detection for IoT Using Hyperdimensional Computing on NSL-KDD
par: Ghajari, Ghazal, et autres
Publié: (2025)

SD-CGAN: Conditional Sinkhorn Divergence GAN for DDoS Anomaly Detection in IoT Networks
par: Onyeka, Henry, et autres
Publié: (2025)

In-network Attack Detection with Federated Deep Learning in IoT Networks: Real Implementation and Analysis
par: Chaudhary, Devashish, et autres
Publié: (2026)

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection
par: Jiang, Laura, et autres
Publié: (2025)

An Attack Method for Medical Insurance Claim Fraud Detection based on Generative Adversarial Network
par: Pang, Yining, et autres
Publié: (2025)

Unsupervised Anomaly Detection for Smart IoT Devices: Performance and Resource Comparison
par: Sami, Md. Sad Abdullah, et autres
Publié: (2025)

Binary Anomaly Detection in Streaming IoT Traffic under Concept Drift
par: Carnier, Rodrigo Matos, et autres
Publié: (2025)

A Comparative Analysis of Machine Learning Models for DDoS Detection in IoT Networks
par: Shakya, Sushil, et autres
Publié: (2024)

A Conditional Tabular GAN-Enhanced Intrusion Detection System for Rare Attacks in IoT Networks
par: Menssouri, Safaa, et autres
Publié: (2025)

Federated Learning-Driven Cybersecurity Framework for IoT Networks with Privacy-Preserving and Real-Time Threat Detection Capabilities
par: Rahmati, Milad
Publié: (2025)

Optimizing IoT Threat Detection with Kolmogorov-Arnold Networks (KANs)
par: Emelianova, Natalia, et autres
Publié: (2025)

IoT Network Traffic Analysis with Deep Learning
par: Liu, Mei, et autres
Publié: (2024)

A Transfer Learning Framework for Anomaly Detection in Multivariate IoT Traffic Data
par: Rezakhani, Mahshid, et autres
Publié: (2025)

Optimized IoT Intrusion Detection using Machine Learning Technique
par: Mahmud, Muhammad Zawad, et autres
Publié: (2024)

Deep Learning Approaches for Network Traffic Classification in the Internet of Things (IoT): A Survey
par: Kalwar, Jawad Hussain, et autres
Publié: (2024)

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

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

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

Adaptive Intrusion Detection for Evolving RPL IoT Attacks Using Incremental Learning
par: Bas, Sumeyye, et autres
Publié: (2025)

Enhanced Anomaly Detection in IoMT Networks using Ensemble AI Models on the CICIoMT2024 Dataset
par: Chandekar, Prathamesh, et autres
Publié: (2025)

Quantum Autoencoders for Anomaly Detection in Cybersecurity
par: Senthil, Rohan, et autres
Publié: (2025)

Open Set Dandelion Network for IoT Intrusion Detection
par: Wu, Jiashu, et autres
Publié: (2023)

Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks
par: Wang, Shuzhan, et autres
Publié: (2024)

A-THENA: Early Intrusion Detection for IoT with Time-Aware Hybrid Encoding and Network-Specific Augmentation
par: Panopoulos, Ioannis, et autres
Publié: (2026)

Intrusion Detection in IoT Networks Using Hyperdimensional Computing: A Case Study on the NSL-KDD Dataset
par: Ghajari, Ghazal, et autres
Publié: (2025)

Securing Healthcare with Deep Learning: A CNN-Based Model for medical IoT Threat Detection
par: Mohamadi, Alireza, et autres
Publié: (2024)

Dynamic Temporal Positional Encodings for Early Intrusion Detection in IoT
par: Panopoulos, Ioannis, et autres
Publié: (2025)

Evasion of IoT Malware Detection via Dummy Code Injection
par: Zargarzadeh, Sahar, et autres
Publié: (2026)

Intelligent Detection of Non-Essential IoT Traffic on the Home Gateway
par: Palmese, Fabio, et autres
Publié: (2025)

CITADEL: Continual Anomaly Detection for Enhanced Learning in IoT Intrusion Detection
par: Li, Elvin, et autres
Publié: (2025)

Uncovering and Understanding FPR Manipulation Attack in Industrial IoT Networks
par: Ahsan, Mohammad Shamim, et autres
Publié: (2026)

Detecting Compromised IoT Devices Using Autoencoders with Sequential Hypothesis Testing
par: Mainuddin, Md, et autres
Publié: (2024)

LogGuardQ: A Cognitive-Enhanced Reinforcement Learning Framework for Cybersecurity Anomaly Detection in Security Logs
par: de Sousa, Umberto Gonçalves
Publié: (2025)

Enhancing IoT Cyber Attack Detection in the Presence of Highly Imbalanced Data
par: Haque, Md. Ehsanul, et autres
Publié: (2025)

Time Series Anomaly Detection with CNN for Environmental Sensors in Healthcare-IoT
par: Khatun, Mirza Akhi, et autres
Publié: (2024)

FLARE: Feature-based Lightweight Aggregation for Robust Evaluation of IoT Intrusion Detection
par: Boswell, Bradley, et autres
Publié: (2025)

SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity
par: McFadden, Shae, et autres
Publié: (2026)

Enhancing IoT Security: A Novel Feature Engineering Approach for ML-Based Intrusion Detection Systems
par: Mahanipour, Afsaneh, et autres
Publié: (2024)

A Lightweight Federated Learning Approach for Privacy-Preserving Botnet Detection in IoT
par: Mahmoud, Taha M., et autres
Publié: (2025)

Hybrid Deep Learning-Federated Learning Powered Intrusion Detection System for IoT/5G Advanced Edge Computing Network
par: Baidar, Rasil, et autres
Publié: (2025)