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Ranking Based System to Reduce Free Riding Behavior in P2P Systems

  • Sanjeev K. Singh
  • Chiranjeev Kumar
  • Prem Nath
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 886)

Abstract

Peer-to-peer (P2P) network is a distributed system in which the autonomous peers participate at their will and resources are shared in distributed manner. The massive increase in Internet has given wing to the P2P applications and the search protocols are gainfully utilized in the resource discovery process for Internet related applications. Today, the research community has found interest in the P2P networks. There are several challenges in designing an efficient protocol for the P2P networks. These networks suffer from various problems, such as free riding behaviors, whitewashing, poor search scalability, fake/malicious content distribution, lack of a robust trust model, etc. Moreover, the peers can join and leave the network (churn rate) at any time which makes trust management and searching files more challenging task. We have proposed a ranking based P2P system which collects the statics of data shared by the participating peers and defines the rank of peers. The ranking of a peer increases/decreases in ratio of the data uploaded/downloaded by the peer. The proposed system promotes the peers to share their resources in order to increase their rank and reduces free riding behaviors. We have analytically analyzed the performance of proposed system and observed that proposed system performs better than existing reputation based system.

Keywords

P2P networks Reputation Trustworthiness Social friends Free riding 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Sanjeev K. Singh
    • 1
  • Chiranjeev Kumar
    • 1
  • Prem Nath
    • 2
  1. 1.Department of Computer Science and EngineeringIndian Institute of Technology (ISM)DhanbadIndia
  2. 2.Department of Computer EngineeringMizoram UniversityAizawlIndia

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