基于大数据分析的物联网设备安全挑战与防护策略
Security Challenges and Protection Strategies for Internet of Things Devices Based on Big Data Analysis
邱文丰1
作者信息
- 1. 广东广晟研究开发院有限公司,广东广州 510000
- 折叠
摘要
随着物联网技术的快速发展,大量物联网设备广泛应用于各个领域.文章基于大数据分析技术系统地探讨了物联网设备所面临的主要安全风险,并提出了相应的防护策略.研究表明利用大数据分析技术可以有效发现和预测潜在的安全威胁,从而制订出有效的防御措施,通过采取完善的安全防护措施可以最大限度地保障物联网设备的安全、可靠运行,为物联网技术的可持续发展奠定坚实基础.
Abstract
With the rapid development of Internet of Things technology,a large number of Internet of Things equipment is widely used in various fields.This paper based on big data analysis technology systematically discusses the main security risks and put forward the corresponding protection strategy,the research shows that using big data analysis technology can effectively discover and predict potential security threats,to develop effective defense measures,by taking perfect security protection measures can maximize the safe and reliable operation of Internet of Things equipment,lay a solid foundation for the sustainable development of Internet of Things technology.
关键词
物联网/安全挑战/大数据分析/防护策略Key words
Internet of Things/security challenges/big data analytics/protection strategy引用本文复制引用
出版年
2024
NETL
NSTL
万方数据