The fifth generation (5G) mobile communication technologies significantly promote the development of attractive applications such as automatic driving and telemedicine due to its lower latency, higher data rate and massive connectivities. In addition, 5G network slices can be used to realize tailored transmission network according to users’ different requirements. Nevertheless, 5G still suffers from security, privacy and performance issues exemplified by authenticated key agreement, identity and network slice privacy, and the flexibility and efficiency of network slice selection. In this paper, we tackle these challenges by proposing FANS, a Flexible and Anonymous Network Slicing method for cloud radio access network enabled authentication of emerging 5G service. FANS achieves users’ identity privacy protection by hiding the public key associated with the actual identity in transmitted messages. The privacy, flexibility and efficiency of network slice selection are realized by adopting the idea of privacy-aware one-to-many matching which has been used in anonymous attribute-based encryption. Based on comprehensive security and performance analysis, FANS is shown to be secure and efficient.

第五代（5G）移动通信技术因其较低的延迟，较高的数据速率和大规模的连接性，极大地促进了诱人的应用程序的开发，例如自动驾驶和远程医疗。另外，可根据用户的不同需求使用5G网络切片来实现量身定制的传输网络。尽管如此，5G仍然遭受安全性，隐私和性能问题的困扰，例如认证密钥协议，身份和网络切片的隐私以及网络切片选择的灵活性和效率。在本文中，我们通过提出FANS来应对这些挑战，FANS是一种灵活且匿名的网络切片方法，用于云无线电接入网络，可对新兴的5G服务进行身份验证。FANS通过在传输的消息中隐藏与实际身份关联的公钥来实现用户的身份隐私保护。通过采用已在基于匿名属性的加密中使用的隐私感知一对多匹配的思想，可以实现网络切片选择的隐私，灵活性和效率。基于全面的安全性和性能分析，FANS被证明是安全有效的。