Content-centric computing systems, which can obtain users’ attributes by analyzing information from content, have been widely used in many fields. In social networks, the computing resources of users are restricted. Group authentication schemes are required to ensure the validity of the user and the accuracy of the shared data. In this paper, we propose a content-centric group user authentication scheme to guarantee the security and accuracy of shared data. The proposed group user authentication scheme makes use of the user's content to generate the user's feature vector. Furthermore, the group authentication scheme based on the identity of each user can guarantee the network security before data sharing. In addition, regular operations in the network are not affected or damaged by incidents that occur during the authentication process. The security and performance analyses show that our scheme is secure against various attacks and has lower computational cost than the existing schemes.

中文翻译：

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用于安全社交网络的以内容为中心的组用户身份验证

以内容为中心的计算系统通过分析内容中的信息来获取用户的属性，已被广泛应用于许多领域。在社交网络中，用户的计算资源受到限制。需要使用组认证方案来保证用户的合法性和共享数据的准确性。在本文中，我们提出了一种以内容为中心的组用户认证方案，以保证共享数据的安全性和准确性。所提出的群组用户认证方案利用用户的内容来生成用户的特征向量。此外，基于每个用户身份的组认证方案可以保证数据共享前的网络安全。此外，网络中的常规操作不会受到身份验证过程中发生的事件的影响或破坏。