Title
PANDA: Privacy-Aware Double Auction for Divisible Resources without a Mediator
Abstract
Auction mechanism generally requires a trusted-third party as the market mediator to coordinate bidding and resource allocation via collecting private data from the agents, which may arouse severe privacy concerns and high computation overheads. To address such issues, we propose a novel privacy-aware double auction framework (namely PANDA) by designing an efficient cryptographic protocol to privately execute double auction for divisible resources among all the agents. To ensure privacy and truthfulness, PANDA delicately co-designs VCG auction and cryptographic protocol, which is equivalent to a mediator for sealed-bid auction of divisible resources.
Year
DOI
Venue
2020
10.5555/3398761.3399022
AAMAS '19: International Conference on Autonomous Agents and Multiagent Systems Auckland New Zealand May, 2020
DocType
ISBN
Citations 
Conference
978-1-4503-7518-4
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Bingyu Liu124.08
Shangyu Xie274.79
Hong Yuan396.26