Results 21 to 30 of about 112,253 (268)
Anomaly Detection on Network Traffic for the Healthcare Internet of Things
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
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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
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Network Traffic Processing With PFQ
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
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On Traffic Domination in Communication Networks [PDF]
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
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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
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NTAM-LSTM models of network traffic prediction [PDF]
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
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Traffic network design by cellular automaton-based traffic simulator
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
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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
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Malware Detection Based on the Feature Selection of a Correlation Information Decision Matrix
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
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On the predictability of data network traffic [PDF]
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

