:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Mashnoor, Nowfel, Thom, Jay, Rouf, Abdur, Sengupta, Shamik, Charyyev, Batyr
Formato:	Preprint
Publicado:	2024
Materias:	Networking and Internet Architecture Cryptography and Security Machine Learning
Acceso en línea:	https://arxiv.org/abs/2402.08063
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Network Traffic Analysis of Medical Devices
por: Mashnoor, Nowfel, 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)

IoT Network Traffic Analysis with Deep Learning
por: Liu, Mei, et al.
Publicado: (2024)

Efficient Network Traffic Feature Sets for IoT Intrusion Detection
por: Silva, Miguel, et al.
Publicado: (2024)

Revisiting Network Traffic Analysis: Compatible network flows for ML models
por: Vitorino, João, et al.
Publicado: (2025)

Application of Tabular Transformer Architectures for Operating System Fingerprinting
por: Pérez-Jove, Rubén, et al.
Publicado: (2025)

Distinguishing Tor From Other Encrypted Network Traffic Through Character Analysis
por: Choorod, Pitpimon, et al.
Publicado: (2024)

PCAP-Backdoor: Backdoor Poisoning Generator for Network Traffic in CPS/IoT Environments
por: Chathoth, Ajesh Koyatan, et al.
Publicado: (2025)

Reliable Hierarchical Operating System Fingerprinting via Conformal Prediction
por: Pérez-Jove, Rubén, et al.
Publicado: (2026)

Deep Learning Approaches for Network Traffic Classification in the Internet of Things (IoT): A Survey
por: Kalwar, Jawad Hussain, et al.
Publicado: (2024)

UniNet: A Unified Multi-granular Traffic Modeling Framework for Network Security
por: Wu, Binghui, et al.
Publicado: (2025)

Magnifier: Detecting Network Access via Lightweight Traffic-based Fingerprints
por: Li, Wenhao, et al.
Publicado: (2024)

Improving the Identification of Real-world Malware's DNS Covert Channels Using Locality Sensitive Hashing
por: Ruffing, Pascal, et al.
Publicado: (2025)

Characterizing Encrypted Application Traffic through Cellular Radio Interface Protocol
por: Islam, Md Ruman, et al.
Publicado: (2024)

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

Adversarial Robustness of Traffic Classification under Resource Constraints: Input Structure Matters
por: Chehade, Adel, et al.
Publicado: (2025)

Non-uniformity is All You Need: Efficient and Timely Encrypted Traffic Classification With ECHO
por: Daum, Shilo, et al.
Publicado: (2024)

SISSA: Real-time Monitoring of Hardware Functional Safety and Cybersecurity with In-vehicle SOME/IP Ethernet Traffic
por: Liu, Qi, et al.
Publicado: (2024)

ReGAIN: Retrieval-Grounded AI Framework for Network Traffic Analysis
por: Shajarian, Shaghayegh, et al.
Publicado: (2025)

Heimdallr: Fingerprinting SD-WAN Control-Plane Architecture via Encrypted Control Traffic
por: Seo, Minjae, et al.
Publicado: (2025)

An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection
por: Vitorino, João, et al.
Publicado: (2024)

Attacks Against Mobility Prediction in 5G Networks
por: Atiiq, Syafiq Al, et al.
Publicado: (2024)

On the Cross-Dataset Generalization of Machine Learning for Network Intrusion Detection
por: Cantone, Marco, et al.
Publicado: (2024)

UNAD+: An Explainable Hybrid Framework for Unknown Network Attack Detection
por: Alzubi, Saif, et al.
Publicado: (2026)

Generative Active Adaptation for Drifting and Imbalanced Network Intrusion Detection
por: Gupta, Ragini, et al.
Publicado: (2025)

Temporal Analysis of NetFlow Datasets for Network Intrusion Detection Systems
por: Luay, Majed, et al.
Publicado: (2025)

Enhancing Resilience for IoE: A Perspective of Networking-Level Safeguard
por: Yang, Guan-Yan, et al.
Publicado: (2025)

An Online Ensemble Learning Model for Detecting Attacks in Wireless Sensor Networks
por: Tabbaa, Hiba, et al.
Publicado: (2022)

Preserving Data Privacy for ML-driven Applications in Open Radio Access Networks
por: Gajjar, Pranshav, et al.
Publicado: (2024)

MLDAS: Machine Learning Dynamic Algorithm Selection for Software-Defined Networking Security
por: Benlloch, Pablo, et al.
Publicado: (2026)

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

Edge AI-based Radio Frequency Fingerprinting for IoT Networks
por: Hussain, Ahmed Mohamed, et al.
Publicado: (2024)

The Role of Deep Learning in Advancing Proactive Cybersecurity Measures for Smart Grid Networks: A Survey
por: Abdi, Nima, et al.
Publicado: (2024)

Redefining DDoS Attack Detection Using A Dual-Space Prototypical Network-Based Approach
por: Martinez, Fernando, et al.
Publicado: (2024)

Hyperparameter Tuning-Based Optimized Performance Analysis of Machine Learning Algorithms for Network Intrusion Detection
por: Tripathy, Sudhanshu Sekhar, et al.
Publicado: (2025)

Deep Learning for Network Anomaly Detection under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation
por: Nkashama, D'Jeff K., et al.
Publicado: (2024)

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

Seqnature: Extracting Network Fingerprints from Packet Sequences
por: Varmarken, Janus, et al.
Publicado: (2023)

Machine Learning-Based Malicious Vehicle Detection for Security Threats and Attacks in Vehicle Ad-hoc Network (VANET) Communications
por: Canh, Thanh Nguyen, et al.
Publicado: (2024)

LPUF-AuthNet: A Lightweight PUF-Based IoT Authentication via Tandem Neural Networks and Split Learning
por: Mefgouda, Brahim, et al.
Publicado: (2024)