首页|大数据与人工智能时代背景下的网络安全课程体系研究

大数据与人工智能时代背景下的网络安全课程体系研究

扫码查看
大数据和人工智能技术的发展,对传统的网络安全教学带来了冲击.一方面,很多网络攻击技术本身就利用了大数据和人工智能原理;另一方面,人工智能与大数据本身也存在安全问题.然而,当前的网络安全课程体系尚未将这些内容整合成一个有机整体.通过分析当前网络安全课程授课在宏观、微观和过程控制上的部分缺陷,提出融合大数据与人工智能思想的网络安全课程体系,包括基于人工智能与大数据的"全网安全"课程构建、人工智能与大数据安全知识融合、面向新时期的网络安全知识图谱搭建共3个方面,以建立面向大数据与人工智能背景的网络安全课程体系,弥补当前网络安全教学中缺失的相关内容,改进教学效果.通过人工智能和大数据角度对网络安全教学提供有参考价值的新方法,力求促进信息安全、人工智能、大数据等相关专业知识的融合.
Exploration of Network Security Curriculum System in the Context of Big Data and Artificial Intelligence Era
The development of big data and artificial intelligence techniques has brought an impact on traditional network security teaching.On the one hand,many cyber-attacks themselves use the principles of big data and artificial intelligence.On the other hand,artificial intelli-gence and big data themselves also have security problems.However,the current network security curriculum system has not yet integrated these contents into an organic whole.This paper analyzes some deficiencies in the macro,micro and process control of the current network se-curity course teaching,and proposes a network security course system that integrates big data and artificial intelligence.By through the"full network security"based on artificial intelligence and big data course construction,the knowledge integration of artificial intelligence&big da-ta security,and the construction of network security knowledge graphs,this study establishes a network security course system for big data and artificial intelligence backgrounds,and makes up for the content in the current network security teaching,to improve the teaching effect.This paper provides a new method of the network security teaching from the perspective of artificial intelligence and big data,and strives to promote the integration of information security,artificial intelligence,and big data-related professional knowledge.

big dataartificial intelligencenetwork security

董理君、刘超、张锋、姚宏

展开 >

中国地质大学(武汉)计算机学院,湖北 武汉 430078

大数据 人工智能 网络安全

2024

软件导刊
湖北省信息学会

软件导刊

影响因子:0.524
ISSN:1672-7800
年,卷(期):2024.23(8)