Behavior authentication of Web users based on machine learning

Zenan WU; Liqin TIAN; Zhigang WANG

doi:10.11959/j.issn.2096-109x.2018011

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Behavior authentication of Web users based on machine learning

Papers | 更新时间：2024-06-03

- Behavior authentication of Web users based on machine learning
- Chinese Journal of Network and Information Security Vol. 4, Issue 1, Pages: 45-51(2018)
- 作者机构：
  
  1. 华北科技学院计算机学院，北京 101601
  2. 青海师范大学计算机学院，青海西宁810008
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-109x.2018011
  CLC： TP309
- Online First：2018-01，
  
  Published：15 January 2018
- 稿件说明：
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Zenan WU, Liqin TIAN, Zhigang WANG. Behavior authentication of Web users based on machine learning[J]. Chinese Journal of Network and Information Security, 2018, 4(1): 45-51.
DOI：

Zenan WU, Liqin TIAN, Zhigang WANG. Behavior authentication of Web users based on machine learning[J]. Chinese Journal of Network and Information Security, 2018, 4(1): 45-51. DOI： 10.11959/j.issn.2096-109x.2018011.

摘要

针对Web用户信息的安全问题，结合机器学习的方法，对用户行为进行分析和认证。首先通过主成分分析法对原始数据集做降维处理，然后利用 SVM 算法，让计算机对历史用户行为证据进行学习，得到一个判别用户身份的模型。实际应用和理论分析表明，该模型在用户行为认证判别上，可以更准确和高效地分类出危险用户和可信用户，为诸如电子商务、网络金融等关键网络应用用户行为的高性能分析奠定坚实的理论和实践基础。

Abstract

According to the security problem of Web user information

the user behavior was analyzed and authenticated by the method of machine learning.First of all

through the principal component analysis to reduce the dimension of the original data set

then use the SVM algorithm to allow the computer to learn the history of user behavior evidence

to get a model to identify the user's identity.The practical application and theoretical analysis show that the model in user behavior identification authentication

can be more accurate and efficient classification of dangerous users and trusted users

analysis lay a solid theoretical and practical basis for the high performance user behavior such as electronic commerce

network finance and other key of Internet applications.

关键词

Keywords

references

林闯 , 田立勤 , 王元卓 . 可信网络中用户行为可信的研究 [J ] . 计算机研究与发展 , 2008 , 45 ( 12 ): 2033 - 2043 .

LIN C , TIAN L Q , WANG Y Z . Study on trusted users' behavior in trusted network [J ] . Journal of Computer Research and Development , 2008 , 45 ( 12 ): 2033 - 2043 .

陈亚睿 , 田立勤 , 杨扬 . 云计算环境下动态用户行为认证的机制、模型与分析 [J ] . 系统仿真学报 , 2011 , 23 ( 11 ): 2302 - 2307 .

CHEN Y R , TIAN L Q , YANG Y . Mechanism,model and analysis of dynamic user behavior authentication in cloud computing environment [J ] . Journal of System Simulation , 2011 , 23 ( 11 ): 2302 - 2307 .

田立勤 , 李君建 , 毋泽南 . 权重均衡优化的 Web 用户行为的信任评估 [J ] . 北京邮电大学学报 , 2016 , 39 ( 6 ): 99 - 103 .

TIAN L Q , LI J J , WU Z N . Trust assessment of Web user behavior based on weight balance optimization [J ] . Journal of Beijing University of Posts and Telecom , 2016 , 39 ( 6 ): 99 - 103 .

郭树凯 , 田立勤 , 沈学利 . FAHP 在用户行为信任评价中的研究 [J ] . 计算机工程与应用 , 2011 , 47 ( 12 ): 59 - 61 .

GUO S K , TIAN L Q , SHEN X L . Research on FAHP in user behavior trust evaluation [J ] . Computer Engineering and Application , 2011 , 47 ( 12 ): 59 - 61 .

LI W , PING L D , LU K J , et al . Trust model of users' behavior in trustworthy Internet [C ] // 2009 WASE International Conference on Information Engineering,Piscataway . 2009 : 403 - 406 .

LIU WP , REN P , DUAN H X . User cooperation trust model and its application in network security management [C ] // 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) . 2011 : 2335 - 2339 .

BROSSO I , NEVE A L , BRESSAN G , et al . A continuous authentication system based on user behavior analysis [C ] // Ares '10 International Conference on Availability,Reliability,and Security . 2010 : 380 - 385 .

NOOR T H , SHENG Q Z , ALFAZI A . Reputation attacks detection for effective trust assessment among cloud services [C ] // IEEE International Conference on Trust,Security and Privacy in Computing and Communications . 2013 : 469 - 476 .

冀铁果 , 田立勤 , 等 . 可信网络中一种基于AHP的用户行为评方法 [J ] . 计算机工程与应用 , 2007 , 43 ( 19 ): 123 - 127 .

JI T G , TIAN L Q , et al . A AHP-based user behavior assessment method in trusted network [J ] . Computer Engineering ＆ Applications , 2007 , 43 ( 19 ): 123 - 127 .

万普尼克 . 统计学习理论 [M ] . 北京 : 电子工业出版社 , 2009 .

VAPNIK . Statistical Learning Theory [M ] . Beijing : Publishing House of Electronics Industry,Press , 2009 .

CHANG C C , LIN C J . LIBSVM:a library for support vector machines [C ] // ACM Transactions on Intelligent Systems and Technology(TIST) . 2011 .

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