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A Privacy-Preserving Peer-to-Peer Accommodation System Based on a Credit Network

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Wireless Algorithms, Systems, and Applications (WASA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12938))

Abstract

While Peer-to-peer (P2P) accommodations like Airbnb bring huge convenience and unique experiences to our daily life, a guest taking a P2P accommodation may face great risks, because he/she cannot check the quality of the accommodation before it starts, resulting in a bad experience. Although current P2P accommodation platforms use rating systems and arbitrations to solve the problems, they may not be practical in reality, since interpersonal expectations and interactions between a guest and a host play an important role in rating a P2P accommodation. In this paper, we introduce a new technique based on a credit network to solve these problems. A credit network is a network that uses currency to model transitive trust (or credit) between different users in a distributed fashion. It is modified from the current Bitcoin-based credit network by using a trusted hardware and a protocol for a guest to book a P2P accommodation without revealing unnecessary private information of either the guest or the host with high efficiency. Security and performance analysis shows that our scheme can help a guest find a trustworthy host in a privacy-preserving way, while still achieving high efficiency.

This work was supported by the Natural Science Foundation of China (NSFC) under grants 62072426, U19B2023, and 61871362.

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Correspondence to Chi Zhang .

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Li, S. et al. (2021). A Privacy-Preserving Peer-to-Peer Accommodation System Based on a Credit Network. In: Liu, Z., Wu, F., Das, S.K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2021. Lecture Notes in Computer Science(), vol 12938. Springer, Cham. https://doi.org/10.1007/978-3-030-86130-8_26

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  • DOI: https://doi.org/10.1007/978-3-030-86130-8_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86129-2

  • Online ISBN: 978-3-030-86130-8

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