基于评分卡—随机森林的云计算用户公共安全信誉模型研究

周胜利; 金苍宏; 吴礼发; 洪征

doi:10.11959/j.issn.1000-436x.2018085

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基于评分卡—随机森林的云计算用户公共安全信誉模型研究

学术论文 | 更新时间：2024-06-05

- 基于评分卡—随机森林的云计算用户公共安全信誉模型研究
- Research on cloud computing users’ public safety trust model based on scorecard-random forest
- 通信学报 2018年39卷第5期页码：143-152
- 作者机构：
  
  1. 陆军工程大学指挥控制工程学院，江苏南京 210007
  2. 浙江警察学院信息技术系，浙江杭州 310053
  3. 浙江大学城市学院计算机与计算科学学院，浙江杭州 310015
- 作者简介：
  
  [ "周胜利（1982-），男，浙江苍南人，陆军工程大学博士生，主要研究方向为云计算安全。" ]
  [ "金苍宏（1982-），男，浙江绍兴人，博士，浙江大学城市学院讲师，主要研究方向为机器学习、云计算。" ]
  [ "吴礼发（1968-），男，湖北蕲春人，博士，陆军工程大学教授，主要研究方向为大数据安全。" ]
  [ "洪征（1979-），男，江西南昌人，博士，陆军工程大学副教授，主要研究方向为网络安全。" ]
- 基金信息：
  
  国家重点研发计划基金资助项目(2017YFB0802900);国家自然科学基金资助项目(U1509219);杭州市科技发展计划基金资助项目(20162013A08)
- DOI：10.11959/j.issn.1000-436x.2018085
  中图分类号： TP393
- 网络出版日期：2018-05，
  
  纸质出版日期：2018-05-25
- 稿件说明：
移动端阅览
周胜利, 金苍宏, 吴礼发, 等. 基于评分卡—随机森林的云计算用户公共安全信誉模型研究[J]. 通信学报, 2018,39(5):143-152.

Shengli ZHOU, Canghong JIN, Lifa WU, et al. Research on cloud computing users’ public safety trust model based on scorecard-random forest[J]. Journal on communications, 2018, 39(5): 143-152.
周胜利, 金苍宏, 吴礼发, 等. 基于评分卡—随机森林的云计算用户公共安全信誉模型研究[J]. 通信学报, 2018,39(5):143-152. DOI： 10.11959/j.issn.1000-436x.2018085.

Shengli ZHOU, Canghong JIN, Lifa WU, et al. Research on cloud computing users’ public safety trust model based on scorecard-random forest[J]. Journal on communications, 2018, 39(5): 143-152. DOI： 10.11959/j.issn.1000-436x.2018085.

摘要

传统云计算用户信誉的研究主要集中在对用户操作行为信誉评估，较少涉及用户发布文本信息的安全管理，并且存在指标筛选欠准确、信誉评估结果缺乏科学验证等问题，难以满足监管部门的实际需求。针对以上问题，提出基于评分卡—随机森林的云计算用户公共安全信誉模型。首先，利用Word2Vec和卷积神经网络进行公共安全标签分类；其次，采用评分卡方法，筛选强相关性指标；最后，结合随机森林算法，建立云计算用户公共安全信誉模型。实验分析表明，所建立的模型能够解决云计算公共安全监管中用户信誉指标筛选不准确和信誉区分准确性低等问题，能够有效识别有害用户，提高云计算用户监管效率。

Abstract

Traditional cloud computing trust models mainly focused on the calculation of the trust of users’ behavior.In the process of classification and evaluation

there were some problems such as ignorance of content security and lack of trust division verification.Aiming to solve these problems

cloud computing users’ public safety trust model based on scorecard-random forest was proposed.Firstly

the text was processed using Word2Vec in the data preprocessing stage.The convolution neural network (CNN) was used to extract the sentence features for user content tag classification.Then

scorecard method was used to filter the strong correlation index.Meanwhile

in order to establish the users’ public safety trust evaluation model in cloud computing

a random forest method was applied.Experimental results show that the proposed users’ public safety trust evaluation model outperforms the general trust evaluation model.The proposed model can effectively distinguish malicious users from normal users

and it can improve the efficiency of the cloud computing users management.

关键词

Keywords

references

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