Risk-adaptive access control model for big data in healthcare
While dealing with the big data in healthcare,it was difficult for a policy maker to foresee what information a doctor may need,even to make an accurate access control policy.To deal with it,a risk-based access control model that regulates doctors’ access rights adaptively was proposed to protect pa...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2015-12-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015328/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841539558736396288 |
|---|---|
| author | Zhen HUI Hao LI Min ZHANG Deng-guo FENG |
| author_facet | Zhen HUI Hao LI Min ZHANG Deng-guo FENG |
| author_sort | Zhen HUI |
| collection | DOAJ |
| description | While dealing with the big data in healthcare,it was difficult for a policy maker to foresee what information a doctor may need,even to make an accurate access control policy.To deal with it,a risk-based access control model that regulates doctors’ access rights adaptively was proposed to protect patient privacy.This model analyzed the history of access,applies the EM algorithm and the information entropy technique to quantify the risk of privacy violation.Using the quantified risk,the model can detect and control the over-accessing and exceptional accessing of patients’ data.Experimental results show that this model is effective and more accurate than other models. |
| format | Article |
| id | doaj-art-1cb52145123f4b9ab159bb57c617117f |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2015-12-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-1cb52145123f4b9ab159bb57c617117f2025-01-14T06:54:13ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-12-013619019959697325Risk-adaptive access control model for big data in healthcareZhen HUIHao LIMin ZHANGDeng-guo FENGWhile dealing with the big data in healthcare,it was difficult for a policy maker to foresee what information a doctor may need,even to make an accurate access control policy.To deal with it,a risk-based access control model that regulates doctors’ access rights adaptively was proposed to protect patient privacy.This model analyzed the history of access,applies the EM algorithm and the information entropy technique to quantify the risk of privacy violation.Using the quantified risk,the model can detect and control the over-accessing and exceptional accessing of patients’ data.Experimental results show that this model is effective and more accurate than other models.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015328/risk-based access controlbig dataprivacyadaptive |
| spellingShingle | Zhen HUI Hao LI Min ZHANG Deng-guo FENG Risk-adaptive access control model for big data in healthcare Tongxin xuebao risk-based access control big data privacy adaptive |
| title | Risk-adaptive access control model for big data in healthcare |
| title_full | Risk-adaptive access control model for big data in healthcare |
| title_fullStr | Risk-adaptive access control model for big data in healthcare |
| title_full_unstemmed | Risk-adaptive access control model for big data in healthcare |
| title_short | Risk-adaptive access control model for big data in healthcare |
| title_sort | risk adaptive access control model for big data in healthcare |
| topic | risk-based access control big data privacy adaptive |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015328/ |
| work_keys_str_mv | AT zhenhui riskadaptiveaccesscontrolmodelforbigdatainhealthcare AT haoli riskadaptiveaccesscontrolmodelforbigdatainhealthcare AT minzhang riskadaptiveaccesscontrolmodelforbigdatainhealthcare AT dengguofeng riskadaptiveaccesscontrolmodelforbigdatainhealthcare |