On Strategies of Personal Information Protection in the Personalized Information Service in Big Data Times
Obtaining personalized information service of library must inevitably involve the readers’ personal information. In the Big Data times, the readers’ personal information is often leaked out, which will directly influence the readers’ satisfaction and trust for the personalized information service of...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2016-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | http://dx.doi.org/10.1051/itmconf/20160703002 |
| _version_ | 1818415714638233600 |
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| author | Zhang Li-ping |
| author_facet | Zhang Li-ping |
| author_sort | Zhang Li-ping |
| collection | DOAJ |
| description | Obtaining personalized information service of library must inevitably involve the readers’ personal information. In the Big Data times, the readers’ personal information is often leaked out, which will directly influence the readers’ satisfaction and trust for the personalized information service of the library. This article aims to discuss the sorts of potential security risks by using the descriptive method and the analytical method, and list the effective strategies for the defense of readers’ personal information. The outcome is that only by working out effective strategies of protection can we strengthen the protection of readers’ personal information, and eliminate the possible potential safety risks, and ensure the smooth development of personalized information service of the library. |
| first_indexed | 2024-12-14T11:39:23Z |
| format | Article |
| id | doaj.art-e2a1d39245eb4c3a882a77bf0ed24e73 |
| institution | Directory Open Access Journal |
| issn | 2271-2097 |
| language | English |
| last_indexed | 2024-12-14T11:39:23Z |
| publishDate | 2016-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj.art-e2a1d39245eb4c3a882a77bf0ed24e732022-12-21T23:02:54ZengEDP SciencesITM Web of Conferences2271-20972016-01-0170300210.1051/itmconf/20160703002itmconf_ita2016_03002On Strategies of Personal Information Protection in the Personalized Information Service in Big Data TimesZhang Li-pingObtaining personalized information service of library must inevitably involve the readers’ personal information. In the Big Data times, the readers’ personal information is often leaked out, which will directly influence the readers’ satisfaction and trust for the personalized information service of the library. This article aims to discuss the sorts of potential security risks by using the descriptive method and the analytical method, and list the effective strategies for the defense of readers’ personal information. The outcome is that only by working out effective strategies of protection can we strengthen the protection of readers’ personal information, and eliminate the possible potential safety risks, and ensure the smooth development of personalized information service of the library.http://dx.doi.org/10.1051/itmconf/20160703002 |
| spellingShingle | Zhang Li-ping On Strategies of Personal Information Protection in the Personalized Information Service in Big Data Times ITM Web of Conferences |
| title | On Strategies of Personal Information Protection in the Personalized Information Service in Big Data Times |
| title_full | On Strategies of Personal Information Protection in the Personalized Information Service in Big Data Times |
| title_fullStr | On Strategies of Personal Information Protection in the Personalized Information Service in Big Data Times |
| title_full_unstemmed | On Strategies of Personal Information Protection in the Personalized Information Service in Big Data Times |
| title_short | On Strategies of Personal Information Protection in the Personalized Information Service in Big Data Times |
| title_sort | on strategies of personal information protection in the personalized information service in big data times |
| url | http://dx.doi.org/10.1051/itmconf/20160703002 |
| work_keys_str_mv | AT zhangliping onstrategiesofpersonalinformationprotectioninthepersonalizedinformationserviceinbigdatatimes |