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

*この研究の対応する著者

研究成果査読

84 被引用数 (Scopus)

抄録

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.

本文言語English
論文番号8036242
ページ(範囲)553-564
ページ数12
ジャーナルIEEE Transactions on Emerging Topics in Computing
7
4
DOI
出版ステータスPublished - 2019 10 1
外部発表はい

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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