نتایج جستجو برای: network traffic identification

تعداد نتایج: 1117736  

Journal: :International Journal of Computer Applications 2017

Journal: :IEEE Access 2022

Recently, many video streaming services, such as YouTube, Twitch, and Facebook, have contributed to traffic, leading the possibility of unwanted inappropriate content minors or individuals at workplaces. Therefore, monitoring is necessary. Although traffic encrypted, several studies proposed techniques using data decipher users’ activity on web. Dynamic Adaptive Streaming over HTTP (DASH...

Journal: :International Journal of Computers Communications & Control 2014

Journal: :Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 2020

Journal: :iranian rehabilitation journal 0
parivash ranjbar örebro university hospital, örebro, sweden. agneta anderzén carlsson örebro university hospital, örebro, sweden. lennart neovius saven hitech ab, sweden. camilla johansson örebro university hospital, örebro, sweden. erik borg örebro university hospital, örebro, sweden.

objectives: conducting field tests of a vibrotactile aid for deaf/deafblind persons for detection, identification and directional perception of environmental sounds. methods: five deaf (3f/2m, 22–36 years) individuals tested the aid separately in a home environment (kitchen) and in a traffic environment. their eyes were blindfolded and they wore a headband and holding a vibrator for sound ident...

1998
HONGJUN ZHANG STEPHEN G. RITCHIE

Institute of Transportation Studies, University of California, Irvine, Calif. 92717. Traffic flow on freeways is a complex process that often is described by a set of highly nonlinear, dynamic equations in the form of a macroscopic traffic flow model. However, some of the existing macroscopic models have been found to exhibit instabilities in their behavior and often do not track real traffic d...

Journal: :IOP Conference Series: Earth and Environmental Science 2021

Journal: :IEEE Transactions on Information Forensics and Security 2018

2015
Xu Yabin

To recognize abnormal traffic in network, so as to perceive the illicit behavior in network, carry out scientific and effective management, and ensure the network security, we extracted the abnormal network traffic features and proposed an abnormal network traffic recognition method based on optimized Back Propagation Artificial Neural Networks (BP ANN). The experimental results indicate that, ...

2013
Yan Liu Yulong Yang

With the development of the P2P traffic, it brings us various kinds of services, but it also take over a large amount of network resources. Because of this, it affects other services which make it become the hot topic of academic research. As research continues, more and more identification methods are proposed. This paper introduces several popular identification methods from now on. We find P...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید