A model for the behaviors and incentives of users in a decentralized data-sharing network

Esfandiari, Babak; Ali, Amin; Kadri, El Hachemi; Telfer, Andre

doi:10.3233/web-170360

Cited by 1 publication

(3 citation statements)

References 17 publications

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“…We also found service incentives applied for media streaming [100] and routing & relaying [38]. Esfandiari et al [27] connected peers that reported similar interest in files. Hadzibeganovic & Xia had peers report their properties and topic interests as tags [38].…”

Section: Service Tablementioning

confidence: 77%

“…The main application area for service incentives is file sharing [3,27,60,83]. We also found service incentives applied for media streaming [100] and routing & relaying [38].…”

Section: Service Tablementioning

confidence: 89%

“…"A Model for the Behaviors and Incentives of Users in a Decentralized Data-Sharing Network". Esfandiari et al [27] propose a model to motivate collaboration in decentralized file-sharing networks. Collaborative filtering is used so users can select participants with similar interests in files.…”

Section: A45 Servicementioning

confidence: 99%

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Incentive Mechanisms in Peer-to-Peer Networks — A Systematic Literature Review

et al. 2023

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Centralized networks inevitably exhibit single points of failure that malicious actors regularly target. Decentralized networks are more resilient if numerous participants contribute to the network’s functionality. Most decentralized networks employ incentive mechanisms to coordinate the participation and cooperation of peers and thereby ensure the functionality and security of the network. This article systematically reviews incentive mechanisms for decentralized networks and networked systems by covering 165 prior literature reviews and 178 primary research papers published between 1993 and October 2022. Of the considered sources, we analyze eleven literature reviews and 105 primary research papers in detail by categorizing and comparing the distinctive properties of the presented incentive mechanisms. The reviewed incentive mechanisms establish fairness and reward participation and cooperative behavior. We review work that substitutes central authority through independent and subjective mechanisms run in isolation at each participating peer and work that applies multiparty computation. We use monetary, reputation, and service rewards as categories to differentiate the implementations and evaluate each incentive mechanism’s data management, attack resistance, and contribution model. Further, we highlight research gaps and deficiencies in reproducibility and comparability. Finally, we summarize our assessments and provide recommendations to apply incentive mechanisms to decentralized networks that share computational resources.

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Section: Service Tablementioning

confidence: 77%

“…The main application area for service incentives is file sharing [3,27,60,83]. We also found service incentives applied for media streaming [100] and routing & relaying [38].…”

Section: Service Tablementioning

confidence: 89%