Results 11 to 20 of about 3,911,620 (341)
A Complete Review on the Application of Statistical Methods for Evaluating Internet Traffic Usage
Internet traffic classification aims to identify the kind of Internet traffic. With the rise of traffic encryption and multi-layer data encapsulation, some classic classification methods have lost their strength.
Vanice Canuto Cunha +4 more
doaj +1 more source
Traffic Condition Classification Model Based on Traffic‐Net
The classification and detection of traffic status plays a vital role in the urban smart transportation system. The classification and mastery of the traffic status at different time periods and sections will help the traffic management department to optimize road management and implement rescue in real time. Travelers can follow the traffic conditions.
Fengyun Cao +3 more
openaire +2 more sources
The process of examining the data flow over the internet to identify abnormalities in wireless network performance is known as network traffic analysis. When analyzing network traffic data, traffic classification becomes an important task.
Arpit Jain +7 more
doaj +1 more source
The network traffic congestion classifier is essential for network monitoring systems. Network traffic characterization is a methodology to classify traffic into several classes supporting various attributes.
Ahmed Elngar, Adriana Burlea-Schiopoiu
doaj +1 more source
Detecting malicious IoT traffic using Machine Learning techniques [PDF]
Internet of Things (IoT) generates huge amount of data, that needs to communicate between the IoT enabled devices. These communications are vulnerable to security attacks and are malicious enough to cause harm to connected devices.
Bhuvana JAYARAMAN +3 more
doaj +1 more source
Machine Learning Models for Traffic Classification in Electromagnetic Nano-Networks
The number of nano-sensors connected to wireless electromagnetic nano-network generates different traffic volumes that have increased dramatically, enabling various applications of the Internet of nano-things.
Akram Galal, Xavier Hesselbach
doaj +1 more source
Network Traffic Obfuscation against Traffic Classification
In recent years, tremendous progress has been made in network traffic classification and its use has become ubiquitous in many emerging applications, such as Internet censorship in many countries and ISP traffic engineering. However, the traffic analysis of intermediaries brings the risk of privacy disclosure to users.
Likun Liu +3 more
openaire +1 more source
Deep packet: a novel approach for encrypted traffic classification using deep learning [PDF]
Network traffic classification has become more important with the rapid growth of Internet and online applications. Numerous studies have been done on this topic which have led to many different approaches.
M. Lotfollahi +3 more
semanticscholar +1 more source
This article deals with quality of service (QoS) in internet protocol (IP) telephony by applying software-defined networking (SDN) tools. The authors develop a new design that deterministically classifies real-time protocol (RTP) streams based on data ...
Dalibor Zeman +3 more
doaj +1 more source
ML-Based Traffic Classification in an SDN-Enabled Cloud Environment
Traffic classification plays an essential role in network security and management; therefore, studying traffic in emerging technologies can be useful in many ways.
Omayma Belkadi +3 more
semanticscholar +1 more source

