[go: up one dir, main page]

Zhang et al., 2025 - Google Patents

Non-Invasive User Profiling through Label Inference in FL-based Network Traffic Classification

Zhang et al., 2025

View PDF
Document ID
8779714763674763726
Author
Zhang H
Ye F
Publication year

External Links

Snippet

Artificial intelligence (AI) supported network traffic classification (NTC) has been developed lately for network measurement and quality-of-service (QoS) purposes. More recently, federated learning (FL) approach has been promoted for distributed NTC development due …
Continue reading at ye.ece.wisc.edu (PDF) (other versions)

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
    • H04L63/1425—Traffic logging, e.g. anomaly detection
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/02—Details
    • H04L12/26—Monitoring arrangements; Testing arrangements
    • H04L12/2602—Monitoring arrangements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing packet switching networks
    • H04L43/08—Monitoring based on specific metrics
    • H04L43/0876—Network utilization
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/10—Network architectures or network communication protocols for network security for controlling access to network resources
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing packet switching networks
    • H04L43/06—Report generation
    • H04L43/062—Report generation for traffic related reporting
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/22—Tracking the activity of the user
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance or administration or management of packet switching networks
    • H04L41/14—Arrangements for maintenance or administration or management of packet switching networks involving network analysis or design, e.g. simulation, network model or planning
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/10—Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance or administration or management of packet switching networks
    • H04L41/50—Network service management, i.e. ensuring proper service fulfillment according to an agreement or contract between two parties, e.g. between an IT-provider and a customer
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/54—Store-and-forward switching systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00—Traffic regulation in packet switching networks
    • H04L47/10—Flow control or congestion control
    • H04L47/24—Flow control or congestion control depending on the type of traffic, e.g. priority or quality of service [QoS]
    • H04L47/2441—Flow classification
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communication

Similar Documents

Publication Publication Date Title
Shen et al. Machine learning-powered encrypted network traffic analysis: A comprehensive survey
Shen et al. Accurate decentralized application identification via encrypted traffic analysis using graph neural networks
Rahman et al. Internet of things intrusion detection: Centralized, on-device, or federated learning?
Osman et al. ML-LGBM: A machine learning model based on light gradient boosting machine for the detection of version number attacks in RPL-based networks
Abbasloo et al. Wanna make your TCP scheme great for cellular networks? Let machines do it for you!
US20200274815A1 (en) System and method for classifying network traffic
Schwarzmann et al. Estimating video streaming QoE in the 5G architecture using machine learning
Alomar et al. {CausalSim}: A causal framework for unbiased {Trace-Driven} simulation
US11558769B2 (en) Estimating apparatus, system, method, and computer-readable medium, and learning apparatus, method, and computer-readable medium
Gong et al. To store or not? online data selection for federated learning with limited storage
Wails et al. Tempest: Temporal dynamics in anonymity systems
Yeom et al. LSTM-based collaborative source-side DDoS attack detection
Bhatia et al. Identifying P2P traffic: A survey
Schmid et al. Tangle ledger for decentralized learning
Li et al. Cluster-based spatiotemporal background traffic generation for network simulation
Khan et al. On the pitfalls of security evaluation of robust federated learning
Kattadige et al. Videotrain: A generative adversarial framework for synthetic video traffic generation
Islam et al. Identifying VoIP traffic in VPN tunnel via flow spatio-temporal features
Albaseer et al. FedPot: A quality-aware collaborative and incentivized honeypot-based detector for smart grid networks
Digregorio et al. Evaluating the impact of privacy-preserving federated learning on can intrusion detection
Zhang et al. Non-Invasive User Profiling through Label Inference in FL-based Network Traffic Classification
Mills et al. Detection and Management of P2P Traffic in Networks using Artificial Neural Networksa
Ojetunde et al. A selection technique for effective utilization of post-quantum cryptography in 5G application and beyond
Bar-on et al. A small world–privacy preserving iot device-type fingerprinting with small datasets
Wang et al. GAN-based adversarial patch for malware C2 traffic to bypass DL detector