Credit reputation propagation: a strategy to curb free-riding in a large bittorrent swarm

  • Authors:
  • Suman Paul;Subrata Nandi;Ajit Pal

  • Affiliations:
  • Department of Electronics & Electrical Communication Engineering, Indian Institute of Technology Kharagpur, West Bengal, India;Department of Computer Science & Engineering, National Institute of Technology Durgapur, West Bengal, India;Department of Computer Science & Engineering, Indian Institute of Technology Kharagpur, West Bengal, India

  • Venue:
  • ICDCN'10 Proceedings of the 11th international conference on Distributed computing and networking
  • Year:
  • 2010

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Abstract

BitTorrent ensures cooperation among peers through its inbuilt collaborative mechanisms, however due to lack of proper incentives, significant amount of free riding is observed in it. Though in the existing literature, there exists some strategies to prevent free-riding, however, in case of large swarm sizes, it can be shown that they fail to stop free riding attempts effectively. To overcome this limitation, this paper presents a novel approach based on propagating the knowledge about the existence of possible free riders in the form of reputation among the peers within the swarm. It is shown, how a possible free riding attempt on a peer is reported to others and how this knowledge is utilized in deciding whether to upload to a particular peer or not within a BitTorrent swarm. Simulation results demonstrate how the proposed strategy effectively punishes free riders even in large swarm sizes.