Research on cloud computing users’ public safety trust model based on scorecard-random forest
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 compu...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2018-05-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018085/ |
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| _version_ | 1841539453848387584 |
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| author | Shengli ZHOU Canghong JIN Lifa WU Zheng HONG |
| author_facet | Shengli ZHOU Canghong JIN Lifa WU Zheng HONG |
| author_sort | Shengli ZHOU |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-b9589fe04c9b436980a1e7ebd889cf6e |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2018-05-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-b9589fe04c9b436980a1e7ebd889cf6e2025-01-14T07:14:48ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2018-05-013914315259718341Research on cloud computing users’ public safety trust model based on scorecard-random forestShengli ZHOUCanghong JINLifa WUZheng HONGTraditional 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.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018085/cloud computing securitysecurity regulationscorecardrandom forestconvolution neural network |
| spellingShingle | Shengli ZHOU Canghong JIN Lifa WU Zheng HONG Research on cloud computing users’ public safety trust model based on scorecard-random forest Tongxin xuebao cloud computing security security regulation scorecard random forest convolution neural network |
| title | Research on cloud computing users’ public safety trust model based on scorecard-random forest |
| title_full | Research on cloud computing users’ public safety trust model based on scorecard-random forest |
| title_fullStr | Research on cloud computing users’ public safety trust model based on scorecard-random forest |
| title_full_unstemmed | Research on cloud computing users’ public safety trust model based on scorecard-random forest |
| title_short | Research on cloud computing users’ public safety trust model based on scorecard-random forest |
| title_sort | research on cloud computing users public safety trust model based on scorecard random forest |
| topic | cloud computing security security regulation scorecard random forest convolution neural network |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018085/ |
| work_keys_str_mv | AT shenglizhou researchoncloudcomputinguserspublicsafetytrustmodelbasedonscorecardrandomforest AT canghongjin researchoncloudcomputinguserspublicsafetytrustmodelbasedonscorecardrandomforest AT lifawu researchoncloudcomputinguserspublicsafetytrustmodelbasedonscorecardrandomforest AT zhenghong researchoncloudcomputinguserspublicsafetytrustmodelbasedonscorecardrandomforest |