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Gaining a better knowledge of one's own network is crucial to effectively manage and secure today's large, diverse campus and enterprise networks. Because of the large number of IP addresses (or hosts) and the prevalent use of dynamic IP addresses, profiling and tracking individual hosts within such large networks may not be effective nor scalable. In this paper, we develop a novel methodology for...
As a key approach to securing large networks, existing anomaly detection techniques focus primarily on network traffic data. However, the sheer volume of such data often renders detailed analysis very expensive and reduces the effectiveness of these tools. In this paper, we propose a light-weight anomaly detection approach based on unproductive DNS traffic, namely, the failed DNS queries, with a novel...
With the development of economic globalization, more attention has been paid to cross-cultural study of consumption behavior. Mobile data services speed up the development in China after the issuance of 3G licenses. Impact of different cultural backgrounds on the consumption behavior of mobile data services must be considered when comparing their developments in China with those in other countries...
We numerically investigate the influence of the structural properties of small-world network on the traffic delivery, by adopting the shortest path routing policy. We focus on the network capacity that can be measured by the critical value of phase transition from free flow to congestion. Here we address influence of the topology on the dynamics of traffic delivery for small-world networks, taking...
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