面向AI的SAGINs两阶段多因素认证：前景与挑战
AI-Oriented Two-Phase Multi-Factor Authentication in SAGINs: Prospects and Challenges
AI总结：
针对SAGINs中传统认证无法提供持续透明保护的问题，提出面向AI的两阶段多因素认证方案ATMAS，利用卫星与控制中心协同及独特时空特征增强安全，满足多种需求并实现轻量高效设计。
摘要：
空天地一体化网络（SAGINs）作为地面网络的扩展，为移动用户（MUs）提供灵活接入、泛在覆盖、大容量回传及应急/灾难恢复。尽管SAGIN带来巨大益处并提升服务质量，但未经授权访问SAGIN实体具有潜在危险。目前，传统基于密码学的认证面临挑战，如无法为MUs提供持续且透明的保护。本文提出面向AI的两阶段多因素认证方案（ATMAS），将智能引入认证过程。卫星与网络控制中心协同进行持续认证，同时利用包括服务特征和地理特征在内的独特时空特征增强系统安全。进一步的安全分析与性能评估表明，ATMAS具备适当的安全特性，能满足多种安全需求。此外，我们通过合理结合时空因素，阐明了轻量且高效的认证机制设计。
英文摘要：
Space-air-ground integrated networks (SAGINs), which have emerged as an expansion of terrestrial networks, provide flexible access, ubiquitous coverage, high-capacity backhaul, and emergency/disaster recovery for mobile users (MUs). While the massive benefits brought by SAGIN may improve the quality of service, unauthorized access to SAGIN entities is potentially dangerous. At present, conventional crypto-based authentication is facing challenges, such as the inability to provide continuous and transparent protection for MUs. In this article, we propose an AI-oriented two-phase multi-factor authentication scheme (ATMAS) by introducing intelligence to authentication. The satellite and network control center collaborate on continuous authentication, while unique spatial-temporal features, including service features and geographic features, are utilized to enhance the system security. Our further security analysis and performance evaluations show that ATMAS has proper security characteristics which can meet various security requirements. Moreover, we shed light on lightweight and efficient authentication mechanism design through a proper combination of spatial-temporal factors.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
