[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Rezaei et al., 2019 - Google Patents

Deep learning for encrypted traffic classification: An overview

Rezaei et al., 2019

View PDF
Document ID
7157339744565173452
Author
Rezaei S
Liu X
Publication year
Publication venue
IEEE communications magazine

External Links

Snippet

Traffic classification has been studied for two decades and applied to a wide range of applications from QoS provisioning and billing in ISPs to security-related applications in firewalls and intrusion detection systems. Port-based, data packet inspection, and classical …
Continue reading at arxiv.org (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
    • H04L43/02—Arrangements for monitoring or testing packet switching networks involving a reduction of monitoring data
    • H04L43/026—Arrangements for monitoring or testing packet switching networks involving a reduction of monitoring data using flow generation
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • 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
    • H04L63/02—Network architectures or network communication protocols for network security for separating internal from external traffic, e.g. firewalls
    • H04L63/0227—Filtering policies
    • 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
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/16—Implementing security features at a particular protocol layer
    • 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
    • H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/22—Tracking the activity of the user
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00—Application independent communication protocol aspects or techniques in packet data networks
    • 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

Similar Documents

Publication Publication Date Title
Rezaei et al. Deep learning for encrypted traffic classification: An overview
Wang et al. A survey of techniques for mobile service encrypted traffic classification using deep learning
Salman et al. A review on machine learning–based approaches for Internet traffic classification
Lotfollahi et al. Deep packet: A novel approach for encrypted traffic classification using deep learning
Rezaei et al. Large-scale mobile app identification using deep learning
Este et al. Support vector machines for TCP traffic classification
Alshammari et al. A flow based approach for SSH traffic detection
Soleymanpour et al. CSCNN: cost-sensitive convolutional neural network for encrypted traffic classification
Vinayakumar et al. Secure shell (ssh) traffic analysis with flow based features using shallow and deep networks
US20240106836A1 (en) Learning of malicious behavior vocabulary and threat detection
Bayat et al. Deep learning for network traffic classification
Jackson et al. Amazon echo security: Machine learning to classify encrypted traffic
Xiao et al. Novel dynamic multiple classification system for network traffic
Barut et al. TLS encrypted application classification using machine learning with flow feature engineering
GETMAN et al. A survey of network traffic classification
CN116451138A (en) Encryption traffic classification method, device and storage medium based on multi-modal learning
Obasi et al. CARD-B: A stacked ensemble learning technique for classification of encrypted network traffic
Banihashemi et al. Encrypted network traffic classification using deep learning method
Getman et al. A survey of network traffic classification methods using machine learning
Shamsimukhametov et al. Are neural networks the best way for encrypted traffic classification?
Ahuja et al. DDoS attack traffic classification in SDN using deep learning
Dener et al. RFSE-GRU: Data balanced classification model for mobile encrypted traffic in big data environment
Nascimento et al. Multi-objective optimization of a hybrid model for network traffic classification by combining machine learning techniques
Tavallaee et al. Online classification of network flows
Gomez et al. Efficient network telemetry based on traffic awareness