Visible to the public An Incentive Security Model to Provide Fairness for Peer-to-Peer Networks

TitleAn Incentive Security Model to Provide Fairness for Peer-to-Peer Networks
Publication TypeConference Paper
Year of Publication2019
AuthorsBerenjian, Samaneh, Hajizadeh, Saeed, Atani, Reza Ebrahimi
Conference Name2019 IEEE Conference on Application, Information and Network Security (AINS)
KeywordsBitTorrent, computer network management, computer network security, cryptography, fairness, Gnutella, human factors, incentive methods, incentive security model, incentive-based security model, Leecher-to-Leecher transactions, Metrics, Network, network infrastructure, P2P protocol, peer to peer security, Peer-to-peer computing, peer-to-peer networks, Protocols, pubcrawl, Resiliency, Resource management, Scalability, security
AbstractPeer-to-Peer networks are designed to rely on the resources of their own users. Therefore, resource management plays an important role in P2P protocols. Early P2P networks did not use proper mechanisms to manage fairness. However, after seeing difficulties and rise of freeloaders in networks like Gnutella, the importance of providing fairness for users have become apparent. In this paper, we propose an incentive-based security model which leads to a network infrastructure that lightens the work of Seeders and makes Leechers to contribute more. This method is able to prevent betrayals in Leecher-to-Leecher transactions and helps Seeders to be treated more fairly. This is what other incentive methods such as Bittorrent are incapable of doing. Additionally, by getting help from cryptography and combining it with our method, it is also possible to achieve secure channels, immune to spying, next to a fair network. This is the first protocol designed for P2P networks which has separated Leechers and Seeders without the need to a central server. The simulation results clearly show how our proposed approach can overcome free-riding issue. In addition, our findings revealed that our approach is able to provide an appropriate level of fairness for the users and can decrease the download time.
DOI10.1109/AINS47559.2019.8968699
Citation Keyberenjian_incentive_2019