[1]李凤英,齐宇歆,薛庆水.大数据视域下的虚拟学习社区安全研究——基于门限代理签名的协同学习系统探讨[J].远程教育杂志,2013,(04):076-82.
 Wang Ying,Zhang Jinlei,Zhang Baohui.MOOC: Characteristics Analysis Based on Typical Projects and Its Enlightenment[J].Distance Education Journal,2013,(04):076-82.
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大数据视域下的虚拟学习社区安全研究——基于门限代理签名的协同学习系统探讨()
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《远程教育杂志》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年04期
页码:
076-82
栏目:
学术视角
出版日期:
2013-08-01

文章信息/Info

Title:
MOOC: Characteristics Analysis Based on Typical Projects and Its Enlightenment
作者:
李凤英; 齐宇歆 ;薛庆水
1.上海交通大学 继续教育学院,上海 200240;2.漳州师范学院 教育科学与技术系,福建漳州 363000
Author(s):
Wang Ying;Zhang Jinlei; Zhang Baohui
1. Shanghai Jiaotong University, Shanghai 200240; 2. Department of Educational Science and Technology, Zhangzhou Normal College, Zhangzhou, Fujian 363000
关键词:
大数据虚拟学习社区协同学习门限代理签名安全保护方案
Keywords:
“ Big data” Virtual learning community Collaborative learning Threshold proxy signatureSecurity protection scheme
分类号:
G434
文献标志码:
A
摘要:
在“大数据”时代,数据管理成为虚拟学习社区面临的重要挑战,而学习资源的数据安全是数据管理的核心。通过文献研究,得出目前大数据的规模和来源;从学习资源共享和保护两方面,分析了大数据对虚拟学习社区产生的新影响和大数据下虚拟学习社区呈现的新特点以及虚拟学习社区面临的安全威胁和挑战;随着大数据海量信息的爆炸式增长,传统的虚拟学习社区资源保护技术和方法力不从心,结合虚拟学习社区的特点和功能,提出了门限代理签名在虚拟学习社区的应用。协同学习作为虚拟学习社区的一种重要形式,成为人们学习、探索知识的有效方式之一;通过分析大数据时代虚拟社区协同学习的分布式特点、新的演变和组成要素,厘清了虚拟学习社区中协同学习的安全需求,提出了基于门限代理签名的协同学习安全保护方案,以期为大数据时代虚拟学习社区提供安全的网络学习环境做出理论的新探索。
Abstract:
In “Big data” era, data management has become the important challenges faced by the virtual learning community, and the data security of learning resources is the core of data management. Through literature review, the current scale and sources of big data are obtained; and from two aspects of learning resources sharing and protection, the new impact of big data on virtual learning community is analyzed. Besides, new characteristics of virtual learning community and security threats and challenges that virtual learning community is facing are dissected in the paper as well. With the explosive growth of big data, the traditional protection technology and methods cannot solve the problem. Therefore, with the features and functions of virtual learning community, the threshold proxy signature is proposed to be applied into virtual learning community. As a specific form of virtual learning community, collaborative learning becomes one of the effective ways to acquire and search for knowledge. By analyzing the distribution characteristics, the new evolution and elements of and by differentiating the security demands of collaborative learning in virtual learning community, one security protection scheme based on threshold proxy signature for collaborative learning is proposed, so as to explore new theories on secure network learning circumstances for virtual learning community under big data.

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备注/Memo

备注/Memo:
基金项目:本文系国家自然科学基金项目“基于位置的认证协议研究”(61170227)和上海市哲学社会科学规划课题“虚拟学习社区知识资源保护研究”(编号:2013BTQ001)的部分研究成果。
更新日期/Last Update: 2013-08-01