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Title: Privacy-preserving auction using multi-party computation (II)
Authors: Koh, Benny Hock Kiong
Keywords: Engineering::Computer science and engineering::Software::Software engineering
Issue Date: 2021
Publisher: Nanyang Technological University
Source: Koh, B. H. K. (2021). Privacy-preserving auction using multi-party computation (II). Final Year Project (FYP), Nanyang Technological University, Singapore.
Abstract: This report aims to investigate and evaluate the practicality and performance of privacy-preserving auction using multi-party computation. This investigation consists of two main phases. We first develop an infrastructure where the multi-party computation can be carried out. Next, we experiment with a multi-party computation (MPC) algorithm we develop to determine the feasibility. In the experiment, we tweak the parameters and record the corresponding performance of the auction. With the data collected, we gained insights in helping developers with designing their MPC Algorithm. This helps us demonstrate and determine the probable use case for multi-party computation.
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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