远程教育杂志2018，Vol.36Issue(4)：88-94,7.
人工智能教育应用的安全风险与应对之策
Security Risk and Solution of Education Applications of Artificial Intelligence
摘要
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 de-velopment. 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, utilization rate of education big data and changes brought from 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. Machine learning is the key technology of artificial intelligence and the measure of its implementation. Hackers make full use of ma-chine learning to perform intelligent attack, 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 explore for education network space security in the era of intelligence.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Key words
Artificial Intelligence/AI Education Application/Machine Learning/Risk/Information Security/Bayesian Analysis/Blockchain分类
社会科学引用本文复制引用
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,2018,36(4):88-94,7.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:16BGL003) （项目编号:16BGL003）
国家自然科学基金"基于位置的认证协议研究"(项目编号:61170227) （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) （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) （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)的阶段研究成果. （项目编号:39120K178038）
