计算机应用 ›› 2015, Vol. 35 ›› Issue (8): 2164-2168.DOI: 10.11772/j.issn.1001-9081.2015.08.2164

• 信息安全 • 上一篇    下一篇

基于朴素贝叶斯分类器的网络安全态势评估方法

文志诚, 曹春丽, 周浩   

  1. 湖南工业大学 计算机与通信学院, 湖南 株洲 412007
  • 收稿日期:2015-03-04 修回日期:2015-04-13 出版日期:2015-08-10 发布日期:2015-08-14
  • 通讯作者: 文志诚(1972-),男,湖南东安人,副教授,博士,主要研究方向:软件工程、网络安全,zcwen@mail.shu.edu.cn
  • 作者简介:曹春丽(1980-),女,湖南常宁人,讲师,硕士研究生,主要研究方向:项目管理; 周浩(1981-),男,湖南湘潭人,讲师,硕士研究生,主要研究方向:软件工程。
  • 基金资助:

    国家自然科学基金资助项目(61073186)。

Network security situation assessment method based on Naive Bayes classifier

WEN Zhicheng, CAO Chunli, ZHOU Hao   

  1. College of Computer and Communication, Hunan University of Technology, Zhuzhou Hunan 412007, China
  • Received:2015-03-04 Revised:2015-04-13 Online:2015-08-10 Published:2015-08-14

摘要:

针对目前网络安全态势评估范围局限、信息来源单一、时空复杂度较高且准确性偏差较大等问题,提出了一个朴素贝叶斯分类器的网络安全态势评估方法,充分考虑了多信息源与多层次异构信息融合,具有快速高效性,从整体动态上展示出网络当前安全状况,准确地反映了网络当前安全态势。最后利用网络实例数据,对所提出的朴素贝叶斯分类器的网络安全态势评估模型和算法进行了验证,实验结果表明了所提方法的正确性。

关键词: 朴素贝叶斯, 网络安全态势, 态势评估, 评估方法, 分类器

Abstract:

Concerning the problem that the current network security situation assessment has characteristics of limited scope, single information source, high time and space complexity and big deviation in accuracy, a new network security situation assessment method based on Naive Bayes classifier was proposed. It fully considered multi-information sources and fusion of multi-level heterogeneous information, and had the features of rapidity and high efficiency. It dynamically demonstrated the whole security state of the network, which could precisely reflect the network security situation. Finally, the proposed method was verified using the reality data from network and its validity was proved.

Key words: Naive Bayes, network security situation, situation assessment, assessment method, classifier

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