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基于分类算法的网络设备识别方法∗

皮寿熹 李富合 缪磊 马辰

舰船电子工程2019,Vol.39Issue(12):129-132,157,5.
舰船电子工程2019,Vol.39Issue(12):129-132,157,5.DOI:10.3969/j.issn.1672-9730.2019.12.032

基于分类算法的网络设备识别方法∗

New Method for Network Equipment Identification Based on Classification Algorithm

皮寿熹 1李富合 2缪磊 2马辰2

作者信息

  • 1. 中国船舶工业综合技术经济研究院 北京 100081
  • 2. 中国舰船研究院 北京 100101
  • 折叠

摘要

Abstract

Network equipment identification is of great significance in network security and network management. Unfortunate?ly,most of existing network equipment identification methods are immatured and with low accuracy. This paper collects the network equipment data based on the web space search engine. These equipment data are used as sample data to train the classification mod?el. After transform sample data into feature data using feature extraction techniques,three classification models are built by three classification algorithms. Through the evaluation and analysis of three classification models,a more accurate classification model of equipment types is obtained.

关键词

网络设备/特征提取/分类

Key words

network equipment/feature extraction/classification

分类

信息技术与安全科学

引用本文复制引用

皮寿熹,李富合,缪磊,马辰..基于分类算法的网络设备识别方法∗[J].舰船电子工程,2019,39(12):129-132,157,5.

舰船电子工程

OACSTPCD

1672-9730

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