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New Technology of Library and Information Service  2000, Vol. 16 Issue (5): 53-57    DOI: 10.11925/infotech.1003-3513.2000.05.16
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Secure E-mail
Qiu Jianxia
(Department of Information Technology and Management, Beijing Normal University, Beijing)
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Abstract  

This days business depends on E-mail , but E-mail systems can t depend on any protection. Wrong eyes got look at sensitive information , virus and sp am flooding in Internet are capital problems of unguarded E-mail. How can we do ? This paper bring forward corresponding solution—encryption and digital s ignature, virus scanning and E-mail content filtering—discussing related method and technology, pointing out their shortcoming and growing trend. Finally, anal yze why secure E-mail systems aren’t popularization , what is information units should do.

Key wordsSecure E-mail      PGP      S/MIME      Encryption      Digital signature      Filtering     
Received: 12 December 1999      Published: 25 October 2000
Corresponding Authors: Qiu Jianxia   
About author:: Qiu Jianxia

Cite this article:

Qiu Jianxia. Secure E-mail. New Technology of Library and Information Service, 2000, 16(5): 53-57.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2000.05.16     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2000/V16/I5/53

1 http://www.g5forum.org
2 Lee Bruno“How Safe Are Your Business Secrets?”Data Communication/February 1999
3 Kelly Jackson Higgings“Secure Messaging Moves Forward”Data Communication/March1999
4 卢昱 李勇奇.“基于数字签名及智能卡的Intranet认证模型”.计算机研究与发展,1999,3
5 http://www.teda.com.cn/study/anqiuan.html

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