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Botnet detection has attracted lots of attention. But few works have considered online detection. In this paper, we propose a novel approach that can monitor the botnet activities in real time. We define the concept of ldquofeature streamrdquo to describe raw network traffics. If some feature streams show high similarities, the corresponding host will be regarded as suspicious bots which will be added...
In the data integration, the heterogeneity of sources leads to missing value and various expressions of the same value in records, which reduces the quality of data. In this paper, we propose a novel approach to reinforce records for the integrated data. By studying the functional dependency of attribute in schema of data integration, we discover the related attribute that determines the attribute...
We study the schedulability analysis problem for nonpreemptive scheduling algorithms on multiprocessors. To our best knowledge, the only known work on this problem is the test condition proposed by Baruah for non-preemptive EDF scheduling, which will reject a task set with arbitrarily low utilization if it contains a task whose execution time is equal or greater than the minimal relative deadline...
In this paper, we propose FCWQE, which is effective supporting continuous window query in wireless sensor networks. And it includes FCDC (Four-color with Delay Computation) approach to color the sensors, partition the logic aggregation groups and build the query-path. In order to save the energy and prolong the networks lifetime, this paper brings forward strategy to choose group leader nodes; at...
In many domains, such as meteorology, space physics, geography, multimedia, and economics, there are a lot of time series data. People often use similarity matching to deal with time series data in practical application. DTW (Dynamic Time Warping) can provide the stretch ability along the time axis. Therefore, it becomes one of several popular similarity matching algorithms. But DTW incurs a heavy...
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