"Fair Peer-to-Peer Content Delivery via Blockchain" by Songlin He, Yuan Lu et al.
 

Fair Peer-to-Peer Content Delivery via Blockchain

Document Type

Conference Proceeding

Publication Date

1-1-2021

Abstract

In comparison with conventional content delivery networks, peer-to-peer (p2p) content delivery is promising to save cost and handle high peak-demand, and can also complement the decentralized storage networks such as Filecoin. However, reliable p2p delivery requires proper enforcement of delivery fairness, i.e., the deliverers should be rewarded according to their in-time delivery. Unfortunately, most existing studies on delivery fairness are based on non-cooperative game-theoretic assumptions that are arguably unrealistic in the ad-hoc p2p setting. We for the first time put forth an expressive yet still minimalist security notion for desired fair p2p content delivery, and give two efficient solutions FairDownload and FairStream via the blockchain for p2p downloading and p2p streaming scenarios, respectively. Our designs not only guarantee delivery fairness to ensure deliverers be paid (nearly) proportional to their in-time delivery but also ensure the content consumers and content providers are fairly treated. The fairness of each party can be guaranteed when the other two parties collude to arbitrarily misbehave. Moreover, the systems are efficient in the sense of attaining nearly asymptotically optimal on-chain costs and deliverer communication. We implement the protocols and build the prototype systems atop the Ethereum Ropsten network. Extensive experiments done in LAN and WAN settings showcase their high practicality.

Identifier

85116918925 (Scopus)

ISBN

[9783030884178]

Publication Title

Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics

External Full Text Location

https://doi.org/10.1007/978-3-030-88418-5_17

e-ISSN

16113349

ISSN

03029743

First Page

348

Last Page

369

Volume

12972 LNCS

Grant

1801492

Fund Ref

National Science Foundation

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