Data mining and machine learning methods for sustainable smart cities traffic classification: A survey
This survey paper describes the significant literature survey of Sustainable Smart Cities
(SSC), Machine Learning (ML), Data Mining (DM), datasets, feature extraction and selection …
(SSC), Machine Learning (ML), Data Mining (DM), datasets, feature extraction and selection …
Multi-classification approaches for classifying mobile app traffic
The growing usage of smartphones in everyday life is deeply (and rapidly) changing the
nature of traffic traversing home and enterprise networks, and the Internet. Different tools …
nature of traffic traversing home and enterprise networks, and the Internet. Different tools …
Robust stacking ensemble model for darknet traffic classification under adversarial settings
Encrypted traffic tunnelled by Tor or VPN is referred to as darknet traffic. The ability to detect,
identify, and characterize darknet traffic is critical for detecting network traffic generated by a …
identify, and characterize darknet traffic is critical for detecting network traffic generated by a …
Internet traffic classification demystified: on the sources of the discriminative power
Recent research on Internet traffic classification has yield a number of data mining
techniques for distinguishing types of traffic, but no systematic analysis on" Why" some …
techniques for distinguishing types of traffic, but no systematic analysis on" Why" some …
Internet traffic classification using constrained clustering
Statistics-based Internet traffic classification using machine learning techniques has
attracted extensive research interest lately, because of the increasing ineffectiveness of …
attracted extensive research interest lately, because of the increasing ineffectiveness of …
Robust feature selection and robust PCA for internet traffic anomaly detection
C Pascoal, MR De Oliveira, R Valadas… - 2012 Proceedings …, 2012 - ieeexplore.ieee.org
Robust statistics is a branch of statistics which includes statistical methods capable of
dealing adequately with the presence of outliers. In this paper, we propose an anomaly …
dealing adequately with the presence of outliers. In this paper, we propose an anomaly …
Scalable architecture for SDN traffic classification
Scalable network-wide traffic classification (TC), combined with knowledge of endpoint
identities, will enable the next wave of innovation in networking, by exposing a valuable …
identities, will enable the next wave of innovation in networking, by exposing a valuable …
FPGA-assisted DPI systems: 100 Gbit/s and beyond
P Orosz, T Tóthfalusi, P Varga - IEEE Communications Surveys …, 2018 - ieeexplore.ieee.org
Carrying out deep packet inspection (DPI) in aggregated network connections remains a
continuous requirement even though the line rate reaches and exceeds 100 Gb/s. The …
continuous requirement even though the line rate reaches and exceeds 100 Gb/s. The …
Graption: A graph-based P2P traffic classification framework for the internet backbone
Monitoring network traffic and classifying applications are essential functions for network
administrators. Current traffic classification methods can be grouped in three categories:(a) …
administrators. Current traffic classification methods can be grouped in three categories:(a) …
Imbalanced traffic identification using an imbalanced data gravitation-based classification model
As a basic method for monitoring the activities of Internet applications, traffic identification is
very important for Internet management and security. Internet traffic data naturally exhibits …
very important for Internet management and security. Internet traffic data naturally exhibits …