Privacy computing:concept, connotation and its research trend
s: With the widespread application of mobile Internet, cloud computing and big data technologies, people enjoy the convenience of electronic business, information retrieval, social network and other services, whereas the threats of privacy leaks are ever growing due to the use of big data analytics....
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2016-04-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016078/ |
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| _version_ | 1841539601784635392 |
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| author | Feng-hua LI Hui LI Yan JIA Neng-hai YU Jian WENG |
| author_facet | Feng-hua LI Hui LI Yan JIA Neng-hai YU Jian WENG |
| author_sort | Feng-hua LI |
| collection | DOAJ |
| description | s: With the widespread application of mobile Internet, cloud computing and big data technologies, people enjoy the convenience of electronic business, information retrieval, social network and other services, whereas the threats of privacy leaks are ever growing due to the use of big data analytics. The differences of privacy protection strategy and ability in different systems bring more difficulties in privacy extended management. In addition, the requirements of pro-tecting the same information at different time need the combination of various privacy protection schemes. However, nearly all the current privacy protection schemes are ing at a single case, which lacks systematic and quantized pri-vacy characterization. Furthermore, there is no systematic computing model describing the relationship between the pro-tection level, profit and loss of privacy leaks and the complexity of integrated privacy protection methods. Based on the analysis on the research status of privacy protection, the concept and connotation of privacy computing is proposed and defined. Then the privacy computing research category will be discussed from the whole life cycle of information privacy protection. Finally, some research directions of privacy computing are given, including privacy computing model, context adaptive cryptology for privacy protection, big data a lytics resisted privacy control and protection, privacy protection based on information hiding and system architecture for high concurrent privacy preserving services. |
| format | Article |
| id | doaj-art-acf2a76192964de8b46697cf57518513 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-04-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-acf2a76192964de8b46697cf575185132025-01-14T06:55:11ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-04-013711159700256Privacy computing:concept, connotation and its research trendFeng-hua LIHui LIYan JIANeng-hai YUJian WENGs: With the widespread application of mobile Internet, cloud computing and big data technologies, people enjoy the convenience of electronic business, information retrieval, social network and other services, whereas the threats of privacy leaks are ever growing due to the use of big data analytics. The differences of privacy protection strategy and ability in different systems bring more difficulties in privacy extended management. In addition, the requirements of pro-tecting the same information at different time need the combination of various privacy protection schemes. However, nearly all the current privacy protection schemes are ing at a single case, which lacks systematic and quantized pri-vacy characterization. Furthermore, there is no systematic computing model describing the relationship between the pro-tection level, profit and loss of privacy leaks and the complexity of integrated privacy protection methods. Based on the analysis on the research status of privacy protection, the concept and connotation of privacy computing is proposed and defined. Then the privacy computing research category will be discussed from the whole life cycle of information privacy protection. Finally, some research directions of privacy computing are given, including privacy computing model, context adaptive cryptology for privacy protection, big data a lytics resisted privacy control and protection, privacy protection based on information hiding and system architecture for high concurrent privacy preserving services.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016078/privacy computingquantificationformal descriptionprivacy awareness |
| spellingShingle | Feng-hua LI Hui LI Yan JIA Neng-hai YU Jian WENG Privacy computing:concept, connotation and its research trend Tongxin xuebao privacy computing quantification formal description privacy awareness |
| title | Privacy computing:concept, connotation and its research trend |
| title_full | Privacy computing:concept, connotation and its research trend |
| title_fullStr | Privacy computing:concept, connotation and its research trend |
| title_full_unstemmed | Privacy computing:concept, connotation and its research trend |
| title_short | Privacy computing:concept, connotation and its research trend |
| title_sort | privacy computing concept connotation and its research trend |
| topic | privacy computing quantification formal description privacy awareness |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016078/ |
| work_keys_str_mv | AT fenghuali privacycomputingconceptconnotationanditsresearchtrend AT huili privacycomputingconceptconnotationanditsresearchtrend AT yanjia privacycomputingconceptconnotationanditsresearchtrend AT nenghaiyu privacycomputingconceptconnotationanditsresearchtrend AT jianweng privacycomputingconceptconnotationanditsresearchtrend |