Results 31 to 40 of about 235,780 (318)
Programmable In-Network Obfuscation of Traffic
CoRR, 2020 Recent advances in programmable switch hardware offer a fresh opportunity to protect user privacy. This paper presents PINOT, a lightweight in-network anonymity solution that runs at line rate within the memory and processing constraints of hardware switches. PINOT encrypts a client's IPv4 address with an efficient encryption scheme to hide the address
Liang Wang 0054 +3 more
openaire +2 more sources
IEEE 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
per9000/network-traffic-dataset: Version for archival purposes [PDF]
, 2023 This can be seen as v1.0.0 of the Westermo network traffic dataset.
Per Erik Strandberg
core +1 more source
NTAM-LSTM models of network traffic prediction [PDF]
MATEC 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
On the predictability of data network traffic [PDF]
Proceedings 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 +1 more source
Traffic network design by cellular automaton-based traffic simulator
Computer 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
IEEE 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
Sensors, 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
Malware Detection Based on the Feature Selection of a Correlation Information Decision Matrix
Mathematics, 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
Short-Term Highway Traffic Flow Prediction via Wavelet–Liquid Neural Network Model
ModellingAccurate, efficient, and reliable traffic flow prediction is pivotal for highway operation and management. However, traffic flow series present nonlinear, heterogeneous, and stochastic characteristics, posing significant challenges to precise prediction.
Yongjun Wu +5 more
doaj +1 more source