基于数据挖掘方法的网络攻击检测

Orzikul Shukurov, Bobir Shirinov
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引用次数: 0

摘要

本文对上述集合采矿地下矿的突然性检测进行了研究,包括使用隐马尔可夫模型进行突然性检测、使用定理网络进行突然性检测、使用群方法进行突然性检测、使用便利代理方法进行突然性检测、使用神经网络进行突然性检测、使用传输算法进行突然性检测。利用科学推理规则进行突袭检测。不确定研究中声调起始检测的指针是表中的先决条件。
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Network Attack Detection Based on Data Mining Methods
In article, the detection of above pounce upon supported on collections Mining undergrounds was studied, including the detection of pounce upon using a clandestine Markov model, detection of pounce upon using theorem networks, detection of pounce upon using bunch methods, detection of pounce upon using the facilitate agent method, detection of pounce upon using neuronal networks, detection of pounce upon using transmissible algorithms, detection of pounce upon using fleecy scientific reasoning rules. The pointers of tone-beginning detection in indefinite studies are precondition in the table.
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