Results 21 to 30 of about 112,253 (268)

Anomaly Detection on Network Traffic for the Healthcare Internet of Things

open access: yesEngineering Proceedings, 2023
The Internet of Things (IoT) has revolutionized technologies in society, including in households, offices, factories, and health centers. Among these, the Healthcare Internet of Things (HIoT) significantly transforms medical assistance for patients.
Hsiao-Ching Huang   +3 more
doaj   +1 more source

Channel Characterization for Satellite Link and Terrestrial Link of Vehicular Communication in the mmWave Band

open access: yesIEEE Access, 2019
In the vision of intelligent transportation, vehicles are expected to feature with advanced applications, such as automatic road enforcement, dynamic traffic light sequence, and autonomous driving.
Dong Yan   +7 more
doaj   +1 more source

Network Traffic Processing With PFQ

open access: yesIEEE Journal on Selected Areas in Communications, 2016
This paper presents Packet Family Queue (PFQ), a high-performance framework for packet processing designed to flexibly handle network applications parallelism and making traffic processing safe and easy. PFQ is an open-source module for the Linux kernel that combines software-accelerated packet I/O to in-kernel early stage packet processing and fine ...
BONELLI, NICOLA   +2 more
openaire   +1 more source

On Traffic Domination in Communication Networks [PDF]

open access: yes, 2011
Input data for communication network design/optimization problems involving multi-hour or uncertain tra c can consist of a large set of tra c matrices. These matrices are explicitly considered in prob- lem formulations for link dimensioning. However, many of these matrices are usually dominated by others so only a relatively small subset of ma- trices ...
Ben Ameur, Walid   +2 more
openaire   +2 more sources

Cyber-Threat Detection System Using a Hybrid Approach of Transfer Learning and Multi-Model Image Representation

open access: yesSensors, 2022
Currently, Android apps are easily targeted by malicious network traffic because of their constant network access. These threats have the potential to steal vital information and disrupt the commerce, social system, and banking markets. In this paper, we
Farhan Ullah   +5 more
doaj   +1 more source

NTAM-LSTM models of network traffic prediction [PDF]

open access: yesMATEC Web of Conferences, 2022
Accurate prediction of network traffic is very important in allocating network resources. With the rapid development of network technology, network traffic becomes more complex and diverse.
Zhao Jihong, He Xiaoyuan
doaj   +1 more source

Traffic network design by cellular automaton-based traffic simulator

open access: yesComputer Assisted Methods in Engineering and Science, 2017
Braess pointed out that adding a new road to overcome a traffic congestion could cause a new traffic congestion leading to the reduction of the traffic flow in the whole traffic network, which is called Braess' paradox.
Eisuke Kita   +3 more
doaj   +1 more source

Device Type Identification via Network Traffic and Lightweight Convolutional Neural Network for Internet of Things

open access: yesIEEE Access, 2020
Device type identification (DTI) is one of the most important techniques for the management of Internet of things (IoT). Recently, deep learning (DL) has been considered as a powerful tools for classification or identification, and some researches have ...
Guangwei Qing   +3 more
doaj   +1 more source

Malware Detection Based on the Feature Selection of a Correlation Information Decision Matrix

open access: yesMathematics, 2023
Smartphone apps are closely integrated with our daily lives, and mobile malware has brought about serious security issues. However, the features used in existing traffic-based malware detection techniques have a large amount of redundancy and useless ...
Kai Lu, Jieren Cheng, Anli Yan
doaj   +1 more source

On the predictability of data network traffic [PDF]

open access: yesProceedings of the 2003 American Control Conference, 2003., 2004
The predictably of data network traffic is assessed. Different topologies and types of traffic are studied. Linear and nonlinear AR(MA) models as well as state space and models based on canonical correlation are employed. These predictors are compared against two simple predictors: 1. the prediction is the mean value of the time series, 2.
Khushboo Shah   +2 more
openaire   +2 more sources

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