S. Soltani, Seyed Amin Hosseini Seno, J. Rejito, R. Budiarto
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引用次数: 0
摘要
卫星网络被认为是当今世界上最重要的通信基础设施,它补充了陆地网络并为其用户提供有价值的服务。这些网络的广泛覆盖和服务稳定性使其越来越受欢迎。由于对卫星通信的窃听和主动入侵比地面网络容易得多,因此确保卫星通信的安全至关重要。目前,针对卫星通信的身份验证和密钥交换,已经提出了几种协议,但都不能完全满足安全要求。在本文中,我们研究了其中一个协议并确定了其安全漏洞。此外,我们还提出了一种使用椭圆曲线加密(ECC)的鲁棒安全认证和会话密钥协商协议。我们证明了所提出的协议满足常见的安全需求,并且能够抵抗已知的安全攻击。此外,我们使用互联网安全协议和应用程序的自动验证(AVISPA)形式验证工具和动态模型检查器(OFMC)和攻击搜索器(ATSE)模型检查器证明了所提出的方案满足安全特性。我们还使用Real or Random (RoR)模型证明了我们协议会话密钥交换的安全性。最后,通过与同类方法的比较,证明了该方案的优越性。
Robust Authentication and Session Key Agreement Protocol for Satellite Communications
: Satellite networks are recognized as the most essential communication infrastructures in the world today, which complement land networks and provide valuable services for their users. Extensive coverage and service stability of these networks have increased their popularity. Since eavesdropping and active intrusion in satellite communications are much easier than in terrestrial networks, securing satellite communications is vital. So far, several protocols have been proposed for authentication and key exchange of satellite communications, but none of them fully meet the security requirements. In this paper, we examine one of these protocols and identify its security vulnerabilities. Moreover, we propose a robust and secure authentication and session key agreement protocol using the elliptic curve cryptography (ECC). We show that the proposed protocol meets common security requirements and is resistant to known security attacks. Moreover, we prove that the proposed scheme satisfies the security features using the Automated Validation of Internet Security Protocols and Applications (AVISPA) formal verification tool and On-the fly Model-Checker (OFMC) and ATtack SEarcher (ATSE) model checkers. We have also proved the security of the session key exchange of our protocol using the Real or Random (RoR) model. Finally, the comparison of our scheme with similar methods shows its superiority.
期刊介绍:
This journal publishes original research papers in the areas of computer networks, artificial intelligence, big data management, software engineering, multimedia, cyber security, internet of things, materials genome, integrated materials science, data analysis, modeling, and engineering of designing and manufacturing of modern functional and multifunctional materials.
Novel high performance computing methods, big data analysis, and artificial intelligence that advance material technologies are especially welcome.