ITM Web Conf.
Volume 7, 20163rd Annual International Conference on Information Technology and Applications (ITA 2016)
|Number of page(s)||5|
|Section||Session 3: Security|
|Published online||21 November 2016|
On Strategies of Personal Information Protection in the Personalized Information Service in Big Data Times
Library of Shanghai Dianji University, Shanghai, China 201306
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.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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