基于负载预测的通信网络入侵检测系统设计
DOI:
作者:
作者单位:

新疆工程学院 信息工程学院

作者简介:

通讯作者:

中图分类号:

基金项目:


Design of communication Network intrusion detection System based on Load prediction
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对传统通信网络入侵检测系统负载不均而导致检测精准度低的问题,提出了基于负载预测的通信网络入侵检测系统设计。设计系统硬件结构,使用T-KOKO型监听器及带有监听面板AP-9812M的语音信息监听工具,使用HDMI分配器传输监听信号,选择JY211-QTQ-04型号光缆探测器,其内部含有发射机和接收机,用于发射和接收数据,采用TCP继电器控制器用于改变指令正常执行的顺序。确定负载指标,动态调整负载预测策略,保证负载均衡,并通过hash函数获取网络攻击行初始判别概率向量,实现通信网络入侵检测。由实验结果可知,该系统的运行时间平均值为86.3s,吞吐率平均为74Mbps,网络入侵检测准确率平均值为95%,能够为通信网络的安全运行提供系统支持。

    Abstract:

    Aiming at the problem of low detection accuracy caused by the uneven load of the traditional communication network intrusion detection system, a communication network intrusion detection system design based on load prediction is proposed. Design the system hardware structure, use T-KOKO type monitor and AP-9812M voice information monitoring tool with monitor panel, use HDMI splitter to transmit monitor signal, choose JY211-QTQ-04 type optical cable detector, which contains transmitter inside And receiver, used to transmit and receive data, use TCP relay controller to change the order of normal execution of instructions. Determine the load index, dynamically adjust the load prediction strategy to ensure load balance, and obtain the initial discrimination probability vector of network attacks through the hash function to realize communication network intrusion detection. It can be seen from the experimental results that the average running time of the system is 86.3s, the average throughput rate is 74Mbps, and the average network intrusion detection accuracy rate is 95%, which can provide system support for the safe operation of the communication network.

    参考文献
    相似文献
    引证文献
引用本文

谢凯,代康.基于负载预测的通信网络入侵检测系统设计计算机测量与控制[J].,2021,29(8):62-66.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2021-04-28
  • 最后修改日期:2021-05-20
  • 录用日期:2021-05-21
  • 在线发布日期: 2021-08-19
  • 出版日期:
文章二维码