FCSS: Fog-Computing-based Content-Aware Filtering for Security Services in Information-Centric Social Networks

Jun Wu, Mianxiong Dong*, Kaoru Ota, Jianhua Li, Zhitao Guan



84 被引用数 (Scopus)


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.

ジャーナルIEEE Transactions on Emerging Topics in Computing
出版ステータスPublished - 2019 10 1

ASJC Scopus subject areas

  • コンピュータ サイエンス(その他)
  • 情報システム
  • 人間とコンピュータの相互作用
  • コンピュータ サイエンスの応用


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