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Feature based three stage neural networks intrusion detection method and system

机译:基于特征的三阶段神经网络入侵检测方法及系统

摘要

Feature based three stage neural networks intrusion detection method and system A system and method for detecting a network intrusion is provided. The system comprises a first neural network (104) for determining a first plu-rality of weight values corresponding to a plurality of vectors of an input data. The system also includes a second neural network (106) for updating the first plurality of weight values received from the first neural network (104) to a second plurality of weight values based on the plurality of vectors of the input data. The system also has a third neural network (108) for updating the second plurality of weight values received from the second neural network (106) to a third plurality of weight values based on the plu-rality of vectors of the input data. The disclosed system further includes a classification module (110) for classifying the plurality of vectors under at least one of a plurality of intrusions based on the third plurality of weight values received from the third neural network (108). FIG 1
机译:基于特征的三阶段神经网络入侵检测方法和系统提供了一种用于检测网络入侵的系统和方法。该系统包括第一神经网络(104),用于确定对应于输入数据的多个向量的权重值的第一多个。该系统还包括第二神经网络(106),用于基于输入数据的多个矢量,将从第一神经网络(104)接收的第一多个权重值更新为第二多个权重值。该系统还具有第三神经网络(108),该第三神经网络用于基于输入数据的矢量的多个性将从第二神经网络(106)接收的第二多个权重值更新为第三多个权重值。公开的系统还包括分类模块(110),该分类模块用于基于从第三神经网络(108)接收的第三多个权重值,对多个入侵中的至少一个之下的多个矢量进行分类。图。1

著录项

  • 公开/公告号IN2014DE01539A

    专利类型

  • 公开/公告日2015-11-06

    原文格式PDF

  • 申请/专利权人

    申请/专利号IN1539/DEL/2014

  • 申请日2014-06-08

  • 分类号

  • 国家 IN

  • 入库时间 2022-08-21 15:14:47

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