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Aiming at the problem that independent and redundancy attributes cause classification algorithms' low detection speed and detection rate in network intrusion detection. Hence, a novel feature selection approach for network intrusion based on fast attribute reduction of rough set is proposed in the paper. First, the approach removes independent attributes according to normalized mutual information...
With the rapid development of the information age and the wide range of use of multimedia technology, the problem how to solve a large number of efficient management of multimedia information has become an urgent need. In this paper, improvement ideas of the algorithm by analyzing the principle of traditional texture roughness retrieval algorithm is summarized and realized, and improved texture roughness...
Aiming to problem of classification algorithm with low detection speed and low detection rate in high dimensional network data intrusion detection. A novel approach for feature selection based on Genetic Quantum Particle Swarm Optimization(GQPSO) attribute reduction in network intrusion detection is proposed in the paper. In the approach, selection and variation of genetic algorithm with QPSO algorithm...
Small-world P2P media streaming network model organizes and manages nodes by forming clusters. When a lot of nodes fail at the same time, the model has better fault tolerance. This paper studies BEAM(Bit strEAMing), a small-world P2P media streaming model, and improves it. A new model SWFTM(Small-World Fault-Tolerant Model) is also proposed in the paper. Different from BEAM, SWFTM has some new features:...
As the network faults happen, a mass of the unprocessed data from the distributed network based on the traditional self-healing mode will be transmitted in the whole network, which will aggravate the network transmission burden. In this paper, a new network fault healing mode based on the mobile agent is proposed. On the basis of it, the self-healing algorithm which named the pre-deploying available...
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