IoT Network Traffic Analysis with Deep Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Liu, Mei, Yang, Leon |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Deep Learning Approaches for Network Traffic Classification in the Internet of Things (IoT): A Survey
por: Kalwar, Jawad Hussain, et al.
Publicado: (2024)
por: Kalwar, Jawad Hussain, et al.
Publicado: (2024)
Efficient Network Traffic Feature Sets for IoT Intrusion Detection
por: Silva, Miguel, et al.
Publicado: (2024)
por: Silva, Miguel, et al.
Publicado: (2024)
PCAP-Backdoor: Backdoor Poisoning Generator for Network Traffic in CPS/IoT Environments
por: Chathoth, Ajesh Koyatan, et al.
Publicado: (2025)
por: Chathoth, Ajesh Koyatan, et al.
Publicado: (2025)
A Transfer Learning Framework for Anomaly Detection in Multivariate IoT Traffic Data
por: Rezakhani, Mahshid, et al.
Publicado: (2025)
por: Rezakhani, Mahshid, et al.
Publicado: (2025)
Hybrid Deep Learning-Federated Learning Powered Intrusion Detection System for IoT/5G Advanced Edge Computing Network
por: Baidar, Rasil, et al.
Publicado: (2025)
por: Baidar, Rasil, et al.
Publicado: (2025)
Backdoor Attacks on Contrastive Continual Learning for IoT Systems
por: Tim, Alfous, et al.
Publicado: (2026)
por: Tim, Alfous, et al.
Publicado: (2026)
IoT-AMLHP: Aligned Multimodal Learning of Header-Payload Representations for Resource-Efficient Malicious IoT Traffic Classification
por: Nie, Fengyuan, et al.
Publicado: (2025)
por: Nie, Fengyuan, et al.
Publicado: (2025)
A Blockchain Solution for Collaborative Machine Learning over IoT
por: Beis-Penedo, Carlos, et al.
Publicado: (2023)
por: Beis-Penedo, Carlos, et al.
Publicado: (2023)
Federated Learning-Driven Cybersecurity Framework for IoT Networks with Privacy-Preserving and Real-Time Threat Detection Capabilities
por: Rahmati, Milad
Publicado: (2025)
por: Rahmati, Milad
Publicado: (2025)
ZEST: Attention-based Zero-Shot Learning for Unseen IoT Device Classification
por: Wu, Binghui, et al.
Publicado: (2023)
por: Wu, Binghui, et al.
Publicado: (2023)
LPUF-AuthNet: A Lightweight PUF-Based IoT Authentication via Tandem Neural Networks and Split Learning
por: Mefgouda, Brahim, et al.
Publicado: (2024)
por: Mefgouda, Brahim, et al.
Publicado: (2024)
How the Graph Construction Technique Shapes Performance in IoT Botnet Detection
por: Wasswa, Hassan, et al.
Publicado: (2026)
por: Wasswa, Hassan, et al.
Publicado: (2026)
Design and implementation of intelligent packet filtering in IoT microcontroller-based devices
por: Bertoli, Gustavo de Carvalho, et al.
Publicado: (2023)
por: Bertoli, Gustavo de Carvalho, et al.
Publicado: (2023)
Analyzing Unsolicited Internet Traffic: Measuring IoT Security Threats via Network Telescopes
por: Ismail, Shereen, et al.
Publicado: (2026)
por: Ismail, Shereen, et al.
Publicado: (2026)
Revisiting Network Traffic Analysis: Compatible network flows for ML models
por: Vitorino, João, et al.
Publicado: (2025)
por: Vitorino, João, et al.
Publicado: (2025)
BRIDGE and TCH-Net: Heterogeneous Benchmark and Multi-Branch Baseline for Cross-Domain IoT Botnet Detection
por: Bhilwarawala, Ammar, et al.
Publicado: (2026)
por: Bhilwarawala, Ammar, et al.
Publicado: (2026)
Distinguishing Tor From Other Encrypted Network Traffic Through Character Analysis
por: Choorod, Pitpimon, et al.
Publicado: (2024)
por: Choorod, Pitpimon, et al.
Publicado: (2024)
Hiding in Plain Sight: An IoT Traffic Camouflage Framework for Enhanced Privacy
por: Worae, Daniel Adu, et al.
Publicado: (2025)
por: Worae, Daniel Adu, et al.
Publicado: (2025)
Enhancing Resilience for IoE: A Perspective of Networking-Level Safeguard
por: Yang, Guan-Yan, et al.
Publicado: (2025)
por: Yang, Guan-Yan, et al.
Publicado: (2025)
Locality Sensitive Hashing for Network Traffic Fingerprinting
por: Mashnoor, Nowfel, et al.
Publicado: (2024)
por: Mashnoor, Nowfel, et al.
Publicado: (2024)
IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection
por: Kostas, Kahraman, et al.
Publicado: (2023)
por: Kostas, Kahraman, et al.
Publicado: (2023)
Blockchain and Deep Learning-Based IDS for Securing SDN-Enabled Industrial IoT Environments
por: Poorazad, Samira Kamali, et al.
Publicado: (2023)
por: Poorazad, Samira Kamali, et al.
Publicado: (2023)
UniNet: A Unified Multi-granular Traffic Modeling Framework for Network Security
por: Wu, Binghui, et al.
Publicado: (2025)
por: Wu, Binghui, et al.
Publicado: (2025)
MLDAS: Machine Learning Dynamic Algorithm Selection for Software-Defined Networking Security
por: Benlloch, Pablo, et al.
Publicado: (2026)
por: Benlloch, Pablo, et al.
Publicado: (2026)
The Role of Deep Learning in Advancing Proactive Cybersecurity Measures for Smart Grid Networks: A Survey
por: Abdi, Nima, et al.
Publicado: (2024)
por: Abdi, Nima, et al.
Publicado: (2024)
DAXiot: A Decentralized Authentication and Authorization Scheme for Dynamic IoT Networks
por: Philipp, Artur, et al.
Publicado: (2023)
por: Philipp, Artur, et al.
Publicado: (2023)
SISSA: Real-time Monitoring of Hardware Functional Safety and Cybersecurity with In-vehicle SOME/IP Ethernet Traffic
por: Liu, Qi, et al.
Publicado: (2024)
por: Liu, Qi, et al.
Publicado: (2024)
Deep Learning for Network Anomaly Detection under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation
por: Nkashama, D'Jeff K., et al.
Publicado: (2024)
por: Nkashama, D'Jeff K., et al.
Publicado: (2024)
RIFLE: Robust Distillation-based FL for Deep Model Deployment on Resource-Constrained IoT Networks
por: Arefijamal, Pouria, et al.
Publicado: (2026)
por: Arefijamal, Pouria, et al.
Publicado: (2026)
A Framework for Detection and Classification of Attacks on Surveillance Cameras under IoT Networks
por: Amjid, Umair, et al.
Publicado: (2025)
por: Amjid, Umair, et al.
Publicado: (2025)
Hyperparameter Tuning-Based Optimized Performance Analysis of Machine Learning Algorithms for Network Intrusion Detection
por: Tripathy, Sudhanshu Sekhar, et al.
Publicado: (2025)
por: Tripathy, Sudhanshu Sekhar, et al.
Publicado: (2025)
FedMADE: Robust Federated Learning for Intrusion Detection in IoT Networks Using a Dynamic Aggregation Method
por: Sun, Shihua, et al.
Publicado: (2024)
por: Sun, Shihua, et al.
Publicado: (2024)
SecureDyn-FL: A Robust Privacy-Preserving Federated Learning Framework for Intrusion Detection in IoT Networks
por: Soomro, Imtiaz Ali, et al.
Publicado: (2026)
por: Soomro, Imtiaz Ali, et al.
Publicado: (2026)
Tactical Edge IoT in Defense and National Security
por: Fraga-Lamas, Paula, et al.
Publicado: (2024)
por: Fraga-Lamas, Paula, et al.
Publicado: (2024)
More Than Meets the Eye: A Semantics-Aware Traffic Augmentation Framework for Generalizable Website Fingerprinting
por: Xian, Youquan, et al.
Publicado: (2026)
por: Xian, Youquan, et al.
Publicado: (2026)
Characterizing Encrypted Application Traffic through Cellular Radio Interface Protocol
por: Islam, Md Ruman, et al.
Publicado: (2024)
por: Islam, Md Ruman, et al.
Publicado: (2024)
Edge AI-based Radio Frequency Fingerprinting for IoT Networks
por: Hussain, Ahmed Mohamed, et al.
Publicado: (2024)
por: Hussain, Ahmed Mohamed, et al.
Publicado: (2024)
ReGAIN: Retrieval-Grounded AI Framework for Network Traffic Analysis
por: Shajarian, Shaghayegh, et al.
Publicado: (2025)
por: Shajarian, Shaghayegh, et al.
Publicado: (2025)
MeshGuard: MUD-Based Network Access Control for Large-Scale Thread-Powered IoT Networks
por: George, Dominik Roy, et al.
Publicado: (2026)
por: George, Dominik Roy, et al.
Publicado: (2026)
Adversarial Robustness of Traffic Classification under Resource Constraints: Input Structure Matters
por: Chehade, Adel, et al.
Publicado: (2025)
por: Chehade, Adel, et al.
Publicado: (2025)
Ejemplares similares
-
Deep Learning Approaches for Network Traffic Classification in the Internet of Things (IoT): A Survey
por: Kalwar, Jawad Hussain, et al.
Publicado: (2024) -
Efficient Network Traffic Feature Sets for IoT Intrusion Detection
por: Silva, Miguel, et al.
Publicado: (2024) -
PCAP-Backdoor: Backdoor Poisoning Generator for Network Traffic in CPS/IoT Environments
por: Chathoth, Ajesh Koyatan, et al.
Publicado: (2025) -
A Transfer Learning Framework for Anomaly Detection in Multivariate IoT Traffic Data
por: Rezakhani, Mahshid, et al.
Publicado: (2025) -
Hybrid Deep Learning-Federated Learning Powered Intrusion Detection System for IoT/5G Advanced Edge Computing Network
por: Baidar, Rasil, et al.
Publicado: (2025)