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Detecting anomalous traffic on the Internet has remained an issue of concern for the community of security researchers over the years. Advances in computing performance, in terms of processing power and storage, have allowed the use of resource-intensive intelligent algorithms, to detect intrusive activities, in a timely manner. Naïve Bayes is a statistical inference learning algorithm with promise...
In most articles dataflow in computer networks is described as a transfer function. Numerators, denominators and delay times give behaviors of these systems. Some systems show linear features, others have non-linear ones. All descriptions have some special results. Some of them present linear aspects of transfers, while other ones look for bottlenecks of the networks or prove stability of the systems...
Fault diagnosis is a key research part in the field of network fault management. In order to make effective fault diagnosis to the increasingly complicated distributed application systems(DAS) which are based on the computer network, Building an accurate and practicable fault propagation model(FPM) is generally the necessary prerequisite of the subsequent tasks such as probabilistic reasoning, fault...
A distributed database (DDB) consists of copies of data files (usually redundant) geographically distributed and managed on a computer network. One important problem in DDB research is that of concurrency control. This paper develops a performance model of timestamp-ordering concurrency control algorithms in a DDB. The performance model consists of five components: input data collection, transaction...
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