Please wait a minute...
New Technology of Library and Information Service  2000, Vol. 16 Issue (5): 53-57    DOI: 10.11925/infotech.1003-3513.2000.05.16
article Current Issue | Archive | Adv Search |
Secure E-mail
Qiu Jianxia
(Department of Information Technology and Management, Beijing Normal University, Beijing)
Download:
Export: BibTeX | EndNote (RIS)      
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 words： Secure 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
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors

Cite this article:

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

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2000.05.16     OR     https://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
[1] Li Zhenyu, Li Shuqing. Deep Collaborative Filtering Algorithm with Embedding Implicit Similarity Groups[J]. 数据分析与知识发现, 2021, 5(11): 124-134.
[2] Yang Chen, Chen Xiaohong, Wang Chuhan, Liu Tingting. Recommendation Strategy Based on Users’ Preferences for Fine-Grained Attributes[J]. 数据分析与知识发现, 2021, 5(10): 94-102.
[3] Yang Heng,Wang Sili,Zhu Zhongming,Liu Wei,Wang Nan. Recommending Domain Knowledge Based on Parallel Collaborative Filtering Algorithm[J]. 数据分析与知识发现, 2020, 4(6): 15-21.
[4] Su Qing,Chen Sizhao,Wu Weimin,Li Xiaomei,Huang Tiankuan. Personalized Recommendation Model Based on Collaborative Filtering Algorithm of Learning Situation[J]. 数据分析与知识发现, 2020, 4(5): 105-117.
[5] Zheng Songyin,Tan Guoxin,Shi Zhongchao. Recommending Tourism Attractions Based on Segmented User Groups and Time Contexts[J]. 数据分析与知识发现, 2020, 4(5): 92-104.
[6] Ding Yong,Chen Xi,Jiang Cuiqing,Wang Zhao. Predicting Online Ratings with Network Representation Learning and XGBoost[J]. 数据分析与知识发现, 2020, 4(11): 52-62.
[7] Fusen Jiao,Shuqing Li. Collaborative Filtering Recommendation Based on Item Quality and User Ratings[J]. 数据分析与知识发现, 2019, 3(8): 62-67.
[8] Shan Li,Yehui Yao,Hao Li,Jie Liu,Karmapemo. ISA Biclustering Algorithm for Group Recommendation[J]. 数据分析与知识发现, 2019, 3(8): 77-87.
[9] Peng Guan,Yuefen Wang,Zhu Fu. Analyzing Topic Semantic Evolution with LDA: Case Study of Lithium Ion Batteries[J]. 数据分析与知识发现, 2019, 3(7): 61-72.
[10] Li Jie,Yang Fang,Xu Chenxi. A Personalized Recommendation Algorithm with Temporal Dynamics and Sequential Patterns[J]. 数据分析与知识发现, 2018, 2(7): 72-80.
[11] Wang Daoping,Jiang Zhongyang,Zhang Boqing. Collaborative Filtering Algorithm Based on Gray Correlation Analysis and Time Factor[J]. 数据分析与知识发现, 2018, 2(6): 102-109.
[12] Wang Yong,Wang Yongdong,Guo Huifang,Zhou Yumin. Measuring Item Similarity Based on Increment of Diversity[J]. 数据分析与知识发现, 2018, 2(5): 70-76.
[13] Hua Lingfeng,Yang Gaoming,Wang Xiujun. Recommending Diversified News Based on User’s Locations[J]. 数据分析与知识发现, 2018, 2(5): 94-104.
[14] Yin Cong,Zhang Liyi. Recommendation Algorithm for Post-Context Filtering Based on TF-IDF: Case Study of Catering O2O[J]. 数据分析与知识发现, 2018, 2(11): 28-36.
[15] Qu Jiabin,Ou Shiyan. Analyzing Topic Evolution with Topic Filtering and Relevance[J]. 数据分析与知识发现, 2018, 2(1): 64-75.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626，82624938   E-mail:jishu@mail.las.ac.cn