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MeshTrust: A CDN-Centric Trust Model for Reputation Management on Video Traffic

  • Xiang Tian
  • Yujia ZhuEmail author
  • Zhao Li
  • Chao Zheng
  • Qingyun Liu
  • Yong Sun
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11537)

Abstract

Video applications today are more often deploying content delivery networks (CDNs) for content delivery. However, by decoupling the owner of the content and the organization serving it, CDNs could be abused by attackers to commit network crimes. Traditional flow-level measurements for generating reputation of IPs and domain names for video applications are insufficient. In this paper, we present MeshTrust, a novel approach that assessing reputation of service providers on video traffic automatically. We tackle the challenge from two aspects: the multi-tenancy structure representation and CDN-centric trust model. First, by mining behavioral and semantic characteristics, a Mesh Graph consisting of video websites, CDN nodes and their relations is constructed. Second, we introduce a novel CDN-centric trust model which transforms Mesh Graph into Trust Graph based on extended network embedding methods. Based on the labeled nodes in Trust Graph, a reputation score can be easily calculated and applied to real-time reputation management on video traffic. Our experiments show that MeshTrust can differentiate normal and illegal video websites with accuracy approximately 95% in a real cloud environment.

Keywords

CDN Reputation management Network embedding DNS Trust model Video traffic analysis 

Notes

Acknowledgments

We would like to thank hard work of MESA TEAM (www.mesalab.cn). This work was supported by National Key R&D Program 2016 (Grant No. 2016YFB0801300); the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDC02030600). The corresponding author is Yujia Zhu.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Xiang Tian
    • 1
    • 2
    • 3
  • Yujia Zhu
    • 2
    • 3
    Email author
  • Zhao Li
    • 1
    • 2
    • 3
  • Chao Zheng
    • 2
    • 3
  • Qingyun Liu
    • 2
    • 3
  • Yong Sun
    • 2
    • 3
  1. 1.School of Cyber SecurityUniversity of Chinese Academy of SciencesBeijingChina
  2. 2.National Engineering Laboratory for Information Security TechnologiesBeijingChina
  3. 3.Institute of Information EngineeringChinese Academy of SciencesBeijingChina

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