… LWR traffic flow model with the capability of predict future traffic status with data collected by
pairs of probing … can also provide additional warning to the wide moving jam traffic. Adaptive …

… networks to predict probing rates 1 … prediction models to infer anomalous probing traffic
and to raise early threat warnings. We show that LSTM networks can accurately predict probing …

… defense strategy skills. In this work, we study different aspects of the traffic captured by a /20
network telescope. First, we perform an exploratory data analysis of the collected probing …

… The inference problem and our strategy to tackle it using the belief propagation approach
are stated in Section III. Section IV is devoted to a more practical description of the algorithm, …

… accurately predict traffic state in real-time. An adaptive probing scheme based on prediction
… adaptive probing, investigation of traffic information distribution, and potential application of …

… used a reverse IP-sequential strategy to perform their probing, while the Carna Botnet was
… orchestrated probing campaigns as the problem of interpolating and predicting time series …

… develop a stochastic Lagrangian traffic flow model which uses probe vehicle data to predict
… also interested in developing probing strategy which is adaptable to system performance. …

… by various authors for traffic prediction. We start classifying … We are the first to explore the
area of traffic prediction based on … probing scheme is used to adjust the probing strategy to …

… denotes the prediction of expert i for edge j. We can probe any edge j (say via a traffic server…
Next, we develop a strategy for probing the paths that takes these distributions into account, …

… strategy, whether these mappings are explainable in traffic … to short-term traffic prediction.
How spatial correlations are … -based sensing and through probe vehicle data. The dynamics of …