基于大数据技术的网络攻击防御软件开发系统  

Network Attack Defense Software Development System Based on big Data Technology

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作  者:王永红 WANG Yonghong(Hebei Petroleum University of Technology Chengde,Hebei 0670002;Tiemenguan Vocational and Technical College Xinjiang Uygur Autonomous Region,841000)

机构地区:[1]河北石油职业技术大学计算机信息工程系,河北承德0670002 [2]铁门关职业技术学院,新疆维吾尔自治区841000

出  处:《长江信息通信》2025年第2期155-157,共3页Changjiang Information & Communications

摘  要:随着互联网的快速发展,网络攻击的类型和数量呈现爆发式增长,给社会各个领域带来了严峻的安全挑战。大数据技术凭借其强大的数据处理和分析能力,为网络攻击防御提供了全新的技术支撑,文章围绕基于大数据技术的网络攻击防御软件开发展开研究,首先阐述了当前网络攻击的主要类型,并分析了传统防御技术的不足之处。接着,介绍了大数据技术在网络安全中的结构。随后,该文设计并实现了一款基于大数据技术的网络攻击防御软件,详细描述了其系统架构、关键模块和算法流程。通过实验验证,该文开发的防御软件在检测精度、响应速度等方面表现出色,有效提升了对多种网络攻击的防御能力。研究表明,大数据技术的深度应用将成为网络攻击防御的重要手段,为构建更加安全稳定的网络环境提供有力支持。With the rapid development of the Internet,the types and number of cyber attacks have shown explosive growth,which has brought severe security challenges to all fields of society.Big data technology,with its powerful data processing and analysis capabilities,provides a new technical support for network attack defense.This paper focuses on the development of network attack defense software based on big data technology,firstly describes the main types of current network attacks,and analyzes the shortcomings of traditional defense technologies.Then,the structure of big data technology in network security is introduced.Then,this paper designs and implements a network attack defense software based on big data technology,and describes its system architecture,key modules and algorithm flow in detail.Through experimental verification,the defense software developed in this paper has excellent performance in detection accuracy and response speed,and effectively improves the defense ability against various network attacks.The research shows that the deep application of big data technology will become an important means of network attack defense and provide strong support for building a more secure and stable network environment.

关 键 词:大数据技术 网络攻击防御 软件开发 数据分析 网络安全 

分 类 号:TP393[自动化与计算机技术—计算机应用技术]

 

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