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We detect & study packet traffic anomalies similar to DDoS attacks using information entropy. We perform network-wide monitoring of information entropy of packet traffic at a small number of selected routers. Our method is based on the fact that DDoS attacks change the ??natural?? order and randomness of packet traffic passing through monitored routers when an attack is taking place in the network...
We describe our development of a road traffic multi CA (Cellular Automata) model of the four most common types of 4-way intersection (Yield-controlled intersections, Stop-controlled intersections, Signal-controlled intersections, and Roundabout-based intersection). We developed this model to study how these four different types of 4-way intersection affect road traffic flow & congestion in general...
We study if information entropy of packet traffic passing through selected set of routers may detect anomalous packet traffic (e.g., distributed denial-of-service (DDoS) attacks) in a packet switching network (PSN) model. Given a certain PSN model setup (i.e., topology, routing algorithm, and source load value) a ldquonaturalrdquo entropy profile of normal packet traffic monitored at selected routers...
Performance of data communication networks is influenced by many factors, e.g. routing algorithms, traffic load, network connection topology. Using functional fixed effect models we study how the factors, routing cost metric, source load with various levels and their interactions affect a response metric, a network performance indicator ldquonumber of packets in transitrdquo. Our focus is on the study...
We analyse packet traffic in a data communication network model of the packet switching type using wavelets and principal component analysis (PCA) based methods. We focus our analysis on mean treatment effects for various factors, i.e. the pairs (routing cost metric, source load value), when the response metric is the network performance indicator number of packets in transit. We show through some...
We have applied wavelet statistics to study packet traffic in a data communication network model of the packet switching type. Our focus is on the study of spectral properties of packet traffic near phase transition point (critical point) from free flow to congested states of the network model. We characterize the critical point by the level of packets production at sources in the packet switching...
Phase transition phenomena between non-congested and congested phases in packet traffic have been observed in many packet switching networks (PSNs). Using the PSN model we investigate the nature of fluctuations in number of packets in transit from their source to their destination, when the mean flow density into the PSN model is close to the phase transition point. A meaningful parameter of PSN behaviour...
The effects of spatial inhomogeneities in the initial distribution of immobile complexing species on the spatiotemporal dynamics of activator-inhibitor systems are investigated. If the initial concentration of the complexing species is below a critical value and homogeneously distributed, the stable attractor is a limit cycle; for higher concentrations the stable attractor is a Turing pattern. When...
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