Social networks are very important social cyberspaces for people. Currently, information-centric networks (ICN) are the main trend of next-generation networks, which promote traditional social networks to information-centric social networks (IC-SN). Because of the complexity and openness of social networks, the filtering of security services for users is a key issue. However, existing schemes were proposed for traditional social networks and cannot satisfy the new requirements of IC-SN including extendibility, data mobility, use of non-IP addresses, and flexible deployment. To address this challenge, a fog-computing-based content-aware filtering method for security services, FCSS, is proposed in information centric social networks. In FCSS, the assessment and content- matching schemes and the fog-computing-based content-aware filtering scheme is proposed for security services in IC-SN. FCSS contributes to IC-SN as follows. First, fog computing is introduced into IC-SN to shifting intelligence and resources from remote servers to network edge, which provides low-latency for security service filtering and end to end communications. Second, content-label technology based efficient content-aware filtering scheme is adapted for edge of IN-SN to realize accurate filtering for security services. The simulations and evaluations show the advantages of FCSS in terms of hit ratio, filtering delay, and filtering accuracy.

中文翻译：

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FCSS：基于雾计算的内容感知过滤，用于以信息为中心的社交网络中的安全服务

社交网络是人们非常重要的社交网络空间。当前，以信息为中心的网络（ICN）是下一代网络的主要趋势，它将传统的社交网络推动到以信息为中心的社交网络（IC-SN）。由于社交网络的复杂性和开放性，为用户提供安全服务的过滤是一个关键问题。然而，现有的方案是针对传统社交网络提出的，不能满足IC-SN的可扩展性、数据移动性、非IP地址的使用和灵活部署等新要求。为了应对这一挑战，在以信息为中心的社交网络中，提出了一种用于安全服务的基于雾计算的内容感知过滤方法 FCSS。在 FCSS 中，针对IC-SN中的安全服务提出了评估和内容匹配方案以及基于雾计算的内容感知过滤方案。FCSS 对 IC-SN 的贡献如下。首先，将雾计算引入 IC-SN，将智能和资源从远程服务器转移到网络边缘，为安全服务过滤和端到端通信提供低延迟。其次，基于内容标签技术的高效内容感知过滤方案适用于IN-SN边缘，实现对安全服务的精准过滤。仿真和评估显示了 FCSS 在命中率、滤波延迟和滤波精度方面的优势。雾计算被引入 IC-SN 以将智能和资源从远程服务器转移到网络边缘，为安全服务过滤和端到端通信提供低延迟。其次，基于内容标签技术的高效内容感知过滤方案适用于IN-SN边缘，实现对安全服务的精准过滤。仿真和评估显示了 FCSS 在命中率、滤波延迟和滤波精度方面的优势。雾计算被引入 IC-SN 以将智能和资源从远程服务器转移到网络边缘，为安全服务过滤和端到端通信提供低延迟。其次，基于内容标签技术的高效内容感知过滤方案适用于IN-SN边缘，实现对安全服务的精准过滤。仿真和评估显示了 FCSS 在命中率、滤波延迟和滤波精度方面的优势。