GhostBuy : An All-Steps Anonymous Purchase Platform (ASAPP) based on Separation of Data

Willems, Fabian; Adams, Carlisle

doi:10.1109/pst58708.2023.10320162

2023 20th Annual International Conference on Privacy, Security and Trust (PST) 2023

DOI: 10.1109/pst58708.2023.10320162

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GhostBuy : An All-Steps Anonymous Purchase Platform (ASAPP) based on Separation of Data

Fabian Willems,

Carlisle Adams

Abstract: The research presented in this thesis is entirely our own work. Sources are declared throughout the thesis and -regarding adapted / adopted code snippets -in the source code of the prototype implementation that we provide with the thesis.However, in Appendix V we provide an overview of sources that were particularly useful for the prototype implementation. We hope that others will find them as useful as we did.

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2024

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Cited by 1 publication

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Towards Trust and Reputation as a Service in Society 5.0

Olariu,

Mukkamala,

Aljohani

2024

Smart Cities

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Our paper was inspired by the recent Society 5.0 initiative of the Japanese Government which seeks to create a sustainable human-centric society by putting to work recent advances in technology. One of the key challenges in implementing Society 5.0 is providing trusted and secure services for everyone to use. Motivated by this challenge, this paper makes three contributions that we summarize as follows: Our first main contribution is to propose a novel blockchain and smart contract-based trust and reputation service design to reduce the uncertainty associated with buyer feedback in marketplaces that we expect to see in Society 5.0. Our second contribution is to extend Laplace’s Law of Succession in a way that provides a trust measure in a seller’s future performance in terms of their past reputation scores. Our third main contribution is to illustrate three applications of the proposed trust and reputation service. Here, we begin by discussing an application to a multi-segment marketplace, where a malicious seller may establish a stellar reputation by selling cheap items, only to use their excellent reputation score to defraud buyers in a different market segment. Next, we demonstrate how our trust and reputation service works in the context of sellers with time-varying performance due, say, to overcoming an initial learning curve. We provide a discounting scheme where older reputation scores are given less weight than more recent ones. Finally, we show how to predict trust and reputation far in the future, based on incomplete information. Extensive simulations have confirmed the accuracy of our analytical predictions.

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Towards Trust and Reputation as a Service in Society 5.0

Olariu,

Mukkamala,

Aljohani

2024

Smart Cities

View full text Add to dashboard Cite

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GhostBuy : An All-Steps Anonymous Purchase Platform (ASAPP) based on Separation of Data

Cited by 1 publication

References 44 publications

Towards Trust and Reputation as a Service in Society 5.0

Towards Trust and Reputation as a Service in Society 5.0

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