[1]薛庆水,李凤英.人工智能教育应用的安全风险与应对之策[J].远程教育杂志,2018,(04):088-94.[doi:10.15881/j.cnki.cn33-1304/g4.2018.04.011]
 Xue Qingshui,Li Fengying.Security Risk and Solutionof Education Applications of Artificial Intelligence[J].Distance Education Journal,2018,(04):088-94.[doi:10.15881/j.cnki.cn33-1304/g4.2018.04.011]
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人工智能教育应用的安全风险与应对之策()
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《远程教育杂志》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2018年04期
页码:
088-94
栏目:
学术视点
出版日期:
2018-07-12

文章信息/Info

Title:
Security Risk and Solutionof Education Applications of Artificial Intelligence
作者:
薛庆水; 李凤英
1.上海应用技术大学 计算机科学与信息工程学院,上海 201418;2.上海交通大学 继续教育学院 高等教育研究院,上海 200240
Author(s):
Xue Qingshui; Li Fengying
1. School of Computer Science and Information Engineering,Shanghai Institute of Technology, Shanghai 201418; 2. Graduate School of Education,School of Continuing Education,Shanghai Jiao Tong University, Shanghai 200240
关键词:
人工智能AI教育应用机器学习风险信息安全贝叶斯方法区块链
Keywords:
Artificial Intelligence AI Education Application Machine Learning Risk Information Security Bayesian AnalysisBlockchain
分类号:
G420
DOI:
10.15881/j.cnki.cn33-1304/g4.2018.04.011
文献标志码:
A
摘要:
近年来,人工智能技术不断取得重大突破,成为国际科研前沿和研究热点,尤其在教育领域有着广阔的发展前景。任何事物都有两面性,人工智能在给教育带来便利和服务的同时,也带来了巨大风险和威胁。在教育领域中,人们似乎更关心人工智能的发展与应用,关注人工智能的基础建设、软硬件及其产生的教育大数据的利用率以及人工智能带来的喜悦,却忽视了人工智能教育应用的潜在风险和新的安全威胁,这种威胁一旦大规模爆发,将给人类带来前所未有的危害和担忧。机器学习是人工智能的核心,也是实现人工智能的手段和方法,黑客正是巧妙地利用机器学习对人类进行智能攻击,这启迪人们同样地也可以利用机器学习对教育系统进行智能防御、自我修复和反攻击。为此,提出了基于贝叶斯方法的人工智能安全防御模型和解决方案,以期为智能时代的教育网络空间安全做出理论方面的新探索。
Abstract:
In recent years, researchers have got breakthrough in the technology of artificial intelligence and it had been the international leading edge of science research and research focus, especially, in the field of education, it has a wide prospect of development. However, any thing has two sides. While artificial intelligence is bringing convenience and services for education, it will bring huge risks and threats for education. In the field of education, People seem put more attention on development and applications of artificial intelligence, infrastructure construction of implementation of artificial intelligence, and surprise and delight brought from education big data utilization rate and artificial intelligence, nevertheless, potential risk and emerging security threats of education applications of artificial intelligence get less attention. Once the kind of threat break out on a massive scale, it will bring unprecedented damages and worry for human beings. For example,in the event of ransomware virus “EternalBlue”, education and scientific research network was attacked in a large scale, which sounds the alarm for us. Machine learning is the key technology of artificial intelligence and the measure of its implementation. Hackers make full use of machine learning to perform intelligent attack to human beings, as puts forward inspiration and thinking. That is to say, in the same way, we can take advantage of machine learning to carry out intelligent defense, self-recovery and anti-attack for education system. From the above thinking, artificial intelligence security defense model and solution based on Bayesian analysis is proposed to make some novel theory research for education network space security in the era of intelligence.

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备注/Memo

备注/Memo:
基金项目:本文系国家社科基金项目“基于贝叶斯方法的社会网络大数据使用与隐私保护平衡机制研究”(项目编号:16BGLOO3)、国家自然科学基金“基于位置的认证协议研究”(项目编号:61170227)、教育部人文社科项目“基于数字认证的MOOC诚信机制研究”(项目编号:14YJA880033);上海应用技术大学协同创新项目“机器视觉与机器嗅觉协同创新平台”(项目编号:3921NH166033);协同创新基金“轨道交通盾构掘进评判模型、安全技术体系构建及软件实现”(项目编号:39120K178038)的阶段性研
更新日期/Last Update: 1900-01-01