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More research is needed to find effective behavioral change techniques (other than increasing risk awareness) for promoting safe traffic behavior in adolescents.
An intelligent system would be able to identify such suspicious traffic behavior immediately.
In this paper, we propose a new approach to detect botnet activity based on traffic behavior analysis by classifying network traffic behavior using machine learning.
Existing matrix completion methods do not fully consider network traffic behavior and traffic hidden characteristic.
This paper presents a global DNS reference model for predicting DNS traffic behavior under specific conditions.
Traffic profiling is a means to obtain knowledge of the traffic behavior.
In this paper, we propose a mechanism to improve firewall performance, using network traffic behavior and packet filtering statistics.
The OREMS software is used to simulate traffic behavior during emergency evacuations and identifies evacuation links with potential traffic congestion.
We present here a methodology for designing an ATM switch capable of adapting its processing to traffic behavior.
This paper is concerned with the heavy traffic behavior of a type of multiclass queueing networks with finite buffers.
The Microsoft researchers began trying to do just that by building software algorithms that modeled traffic behavior and collecting trip data from Microsoft employees who volunteered to carry G.P.S. units in their cars.
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