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作 者:周媛媛 ZHOU Yuanyuan(Civil Aviation Flight University of China,Guanghan,Sichuan618307,China)
出 处:《移动信息》2024年第6期181-183,共3页MOBILE INFORMATION
基 金:民航ADS-B系统中GPS压制干扰的影响评估理论与关键技术研究(FZ2021KF07)。
摘 要:随着民航业的发展,自动相关监视-广播(ADS-B)系统在现代航空领域中被大量应用,文中详细探讨了ADS-B的安全性问题及其解决方案。作为一种关键的航空监控技术,其安全性对确保航空交通的顺畅和安全至关重要。文中首先分析了ADS-B系统面临的主要安全漏洞,包括数据的未加密传输、易受网络攻击、以及频谱干扰等问题。随后,探讨了多种提高ADS-B系统安全性的方法,重点关注了数据加密技术和频谱管理的应用,以及机器学习在提高系统安全性方面的潜在作用。此外,讨论了量子加密在提高ADS-B系统抗攻击能力方面的应用前景,以及机器学习在异常行为检测、空中交通管理和安全性提升中的应用。最后,对ADS-B系统未来的安全防护措施进行了展望。文中对ADS-B未来的发展方向提出了新的建议,同时也旨在为ADS-B系统的防护手段与技术提供新的思路。With the development of the civil aviation industry,Automatic Dependent Surveillance Broadcast(ADS-B)systems are widely used in the modern aviation field.This paper discusses in detail the security issues and solutions of ADS-B.As a key aviation monitoring technology,its safety is crucial to ensuring the smooth and safe operation of air traffic.This paper first analyzes the main security vulnerabilities faced by the ADS-B system,including unencrypted data transmission,susceptibility to network attacks,and spectrum interference.Subsequently,various methods to improve the security of ADS-B systems were explored,with a focus on the application of data encryption technology and spectrum management,as well as the potential role of machine learning in improving system security.In addition,the application prospects of quantum encryption in improving the anti attack capability of ADS-B systems were discussed,as well as the application of machine learning in abnormal behavior detection,air traffic management,and security enhancement.Finally,prospects were made for the future security measures of the ADS-B system.This paper proposes new suggestions for the future development direction of ADS-B,and also aims to provide new ideas for the protection methods and technologies of ADS-B systems.
分 类 号:TP311[自动化与计算机技术—计算机软件与理论]
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