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New Technology of Library and Information Service  2005, Vol. 21 Issue (4): 51-57    DOI: 10.11925/infotech.1003-3513.2005.04.14
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Design of CA System in Digital Campus
Xu Xin1   Su Xinning1   Lu Jiong2
1(Department of Information Management,  Nanjing University,Nanjing 210093,China)
2(Lily Network and Technology Co.,Ltd.,NJU., Nanjing 210093, China)
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First, this paper introduces the architecture about CA system in the university. And based on this, two kernel servers’ design is researched on. We analyze LDAP directory,customization,replication and security functions about LDAP, then talk about how LDAP is designed and implemented in CA system. After this we analyze the design idea and real implementation of CertServer.

Key wordsDigital campus      CA      LDAP      XML     
Received: 22 November 2004      Published: 25 April 2005


Corresponding Authors: Xu Xin     E-mail:
About author:: Xu Xin,Su Xinning,Lu Jiong

Cite this article:

Xu Xin,Su Xinning,Lu Jiong. Design of CA System in Digital Campus. New Technology of Library and Information Service, 2005, 21(4): 51-57.

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1OpenLDAP org. Aug.11, 2004)
2Lightweight Directory Access Protocol. Aug.11, 2004)
3Lightweight Directory Access Protocol (v3). Aug.11, 2004)
4W3C:Extensible Markup Language (XML) 1.0 (Third Edition). REC-xml-20040204(Accessed Aug.12, 2004)
5XML Digital Signatures. Aug.12, 2004)
6XML Encryption. -core/(Accessed Aug.12, 2004)
7徐靓,徐兵,徐为民. 电子校务中基于SSL/X.509数字签名方案. 教育信息化,2004(7)
8姚毅,徐斌,陈俊良. 基于统一身份认证的数字化校园解决方案. 全国高校信息化研究会2003学术年会论文集,200310
9陈怀楚. 统一身份认证在校园信息化中的应用(清华大学). 全国高校信息化研究会2003年学术年会大会发言 Aug.8, 2004)
10北京大学. 统一用户管理和身份认证服务的设计与实现. 全国高校信息化研究会2003年学术年会大会发言 Aug.8, 2004)
11南京大学网络信息中心. 南京大学数字化校园建设规划(第四版). 20045
12南大百合网络科技有限公司. 校园统一身份认证系统技术白皮书. 20024

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