Results 281 to 290 of about 3,911,620 (341)

A Look Behind the Curtain: Traffic Classification in an Increasingly Encrypted Web

Proceedings of the ACM on Measurement and Analysis of Computing Systems, 2021
Traffic classification is essential in network management for operations ranging from capacity planning, performance monitoring, volumetry, and resource provisioning, to anomaly detection and security.
Iman Akbari, M. A. Salahuddin, Leni Aniva, Noura Limam, R. Boutaba, B. Mathieu, S. Moteau, Stéphane Tuffin   +7 more
semanticscholar   +1 more source

Encrypted Web Traffic Classification

2018 3rd International Conference on Contemporary Computing and Informatics (IC3I), 2018
Traffic analysis is very much essential in many network monitoring/surveillance and middle box appliances installed at the perimeter of the internal and the external network. Internet Service Providers are also required to do traffic analysis for the purpose of providing the Quality of Service (QoS) parameters as mentioned in the Service Level ...
Suman Balhwan, Noble Kumari, A.K Mohapatra   +2 more
openaire   +1 more source

Internet traffic classification demystified

Proceedings of the 6th International COnference, 2010
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 algorithms achieve high accuracies. In pursuit of empirically grounded answers to the "Why" question, which is critical in understanding and establishing a scientific ground for ...
Yeon-sup Lim, Hyun-chul Kim, Jiwoong Jeong, Chong-kwon Kim, Ted \\"Taekyoung\\" Kwon, Yanghee Choi   +5 more
openaire   +1 more source

Enhanced Network Traffic Classification with Machine Learning Algorithms

AICCONF
Network traffic classification plays a critical role in maintaining the security and efficiency of modern computer networks. Existing techniques often have problems effectively identifying and establishing network traffic patterns. This research seeks to
I. A. Najm, Ahmed Saeed, B. Ahmad, Saadaldeen Rashid Ahmed, Ravi Sekhar, Pritesh Shah, B. Veena   +6 more
semanticscholar   +1 more source

Robust Network Traffic Classification

IEEE/ACM Transactions on Networking, 2015
As a fundamental tool for network management and security, traffic classification has attracted increasing attention in recent years. A significant challenge to the robustness of classification performance comes from zero-day applications previously unknown in traffic classification systems.
Zhang, Jun, Chen, Xiao, Xiang, Yang, Zhou, Wanlei, Wu, Jie   +4 more
openaire   +2 more sources

Towards Automatic Traffic Classification

International Conference on Networking and Services (ICNS '07), 2007
Classification of network traffic recently has attracted a great deal of interest as it plays important roles in many areas such as traffic engineering, service class mapping, network management etc. One of the challenging issues for existing detection schemes is that they need prior manual analysis to detect unknown traffic, which is infeasible to ...
Zhaohong Lai, Alex Galis, Miguel Rio, Chris Todd   +3 more
openaire   +1 more source

A few shots traffic classification with mini-FlowPic augmentations

ACM/SIGCOMM Internet Measurement Conference, 2022
Internet traffic classification has been intensively studied over the past decade due to its importance for traffic engineering and cyber security.
Eyal Horowicz, T. Shapira, Y. Shavitt
semanticscholar   +1 more source

Traffic Flow Classification Using Traffic Cameras

2018
Traffic flow classification is an integrated task of traffic management and network mobility. In this work, a feature collection system is developed to collect the moving and appearance-based features of traffic images, and their performance are evaluated by different machine learning techniques including Deep Neural Networks (DNN), and Convolutional ...
Mohammad Shokrolah Shirazi, Brendan Morris   +1 more
openaire   +1 more source

InFeCT - Network Traffic Classification

Seventh International Conference on Networking (icn 2008), 2008
Network traffic policy verification is the analysis of network traffic to determine if the observed traffic is in compliance or violation of the applied policy. An intuitive approach is the use of machine learning techniques based on specific network traffic characteristics.
Peter Teufl, Udo Payer, Michael Amling, Martin Godec, Stefan Ruff, Gerhard Scheikl, Gernot Walzl   +6 more
openaire   +1 more source

Deep Learning and Zero-Day Traffic Classification: Lessons Learned From a Commercial-Grade Dataset

IEEE Transactions on Network and Service Management, 2021
The increasing success of Machine Learning (ML) and Deep Learning (DL) has recently re-sparked interest towards traffic classification. While supervised techniques provide satisfactory performance when classifying known traffic, the detection of zero-day
Lixuan Yang, A. Finamore, Feng Jun, Dario Rossi   +3 more
semanticscholar   +1 more source