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授时安全防护技术在网络通信中的应用与优化研究

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随着信息技术的飞速发展,网络通信中的时间同步变得至关重要。然而,现有的时间同步协议在安全性和精度方面存在诸多问题。基于此,文章针对网络通信中的授时安全防护技术进行优化研究,提出了一种结合机器学习、自适应算法和区块链技术的解决方案。通过实验验证,该方案显著提升了时间同步的精度和安全性,特别是在动态变化和不稳定的网络环境中表现出较强的适应性和可靠性。研究结果表明,该方案在实际应用中具有广泛的潜力,为网络通信中的时间同步提供了一个高效、安全的解决方案。
Research on application and optimization of timing security protection technology in network communication
With the rapid development of information technology,time synchronization in network communication has become very important.However,the existing time synchronization protocols have many problems in terms of security and accuracy.Based on this,this paper optimizes the timing security protection technology in network communication,and proposes a solution combining machine learning,adaptive algorithm and block chain technology.The experimental results show that the scheme significantly improves the accuracy and security of time synchronization,especially in the dynamic and unstable network environment.The results show that the scheme has wide potential in practical applications and provides an efficient and secure solution for time synchronization in network communication.

network communicationtiming securitymachine learning

胡勇

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大唐华银(湖南)新能源有限公司,湖南 长沙 410000

网络通信 授时安全 机器学习

2024

中国高新科技
中华预防医学会,国家食品安全风险评估中心

中国高新科技

ISSN:
年,卷(期):2024.(21)