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

Songwei Li; Zhen Wang; Chi Zhang; Lingbo Wei; Jianqing Liu; Ying Ma; Yuguang Fang

doi:10.1007/978-3-030-86130-8_26

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

Songwei Li, Zhen Wang, Chi Zhang^*, Lingbo Wei, Jianqing Liu, Ying Ma, Yuguang Fang

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Wireless Algorithms, Systems, and Applications - 16th International Conference, WASA 2021, Proceedings, Part II
Editors	Zhe Liu, Fan Wu, Sajal K. Das
Publisher	Springer, Cham
Pages	326-337
Edition	1
ISBN (Electronic)	978-3-030-86130-8
ISBN (Print)	978-3-030-86129-2
DOIs	https://doi.org/10.1007/978-3-030-86130-8_26
Publication status	Published - 2021
Externally published	Yes
Event	16th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2021 - Nanjing, China Duration: 25 Jun 2021 → 27 Jun 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12938
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2021
Place	China
City	Nanjing
Period	25/06/21 → 27/06/21

Research Keywords

Bitcoin
Blockchain
Credit network
P2P accommodation
Privacy-preserving

Access Output

10.1007/978-3-030-86130-8_26

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Li, S., Wang, Z., Zhang, C., Wei, L., Liu, J., Ma, Y., & Fang, Y. (2021). A Privacy-Preserving Peer-to-Peer Accommodation System Based on a Credit Network. In Z. Liu, F. Wu, & S. K. Das (Eds.), Wireless Algorithms, Systems, and Applications - 16th International Conference, WASA 2021, Proceedings, Part II (1 ed., pp. 326-337). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12938). Springer, Cham. https://doi.org/10.1007/978-3-030-86130-8_26

Li, Songwei ; Wang, Zhen ; Zhang, Chi et al. / A Privacy-Preserving Peer-to-Peer Accommodation System Based on a Credit Network. Wireless Algorithms, Systems, and Applications - 16th International Conference, WASA 2021, Proceedings, Part II. editor / Zhe Liu ; Fan Wu ; Sajal K. Das. 1. ed. Springer, Cham, 2021. pp. 326-337 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "A Privacy-Preserving Peer-to-Peer Accommodation System Based on a Credit Network",

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.",

keywords = "Bitcoin, Blockchain, Credit network, P2P accommodation, Privacy-preserving",

author = "Songwei Li and Zhen Wang and Chi Zhang and Lingbo Wei and Jianqing Liu and Ying Ma and Yuguang Fang",

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doi = "10.1007/978-3-030-86130-8_26",

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isbn = "978-3-030-86129-2",

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booktitle = "Wireless Algorithms, Systems, and Applications - 16th International Conference, WASA 2021, Proceedings, Part II",

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Li, S, Wang, Z, Zhang, C, Wei, L, Liu, J, Ma, Y & Fang, Y 2021, A Privacy-Preserving Peer-to-Peer Accommodation System Based on a Credit Network. in Z Liu, F Wu & SK Das (eds), Wireless Algorithms, Systems, and Applications - 16th International Conference, WASA 2021, Proceedings, Part II. 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12938, Springer, Cham, pp. 326-337, 16th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2021, Nanjing, China, 25/06/21. https://doi.org/10.1007/978-3-030-86130-8_26

A Privacy-Preserving Peer-to-Peer Accommodation System Based on a Credit Network. / Li, Songwei; Wang, Zhen; Zhang, Chi et al.
Wireless Algorithms, Systems, and Applications - 16th International Conference, WASA 2021, Proceedings, Part II. ed. / Zhe Liu; Fan Wu; Sajal K. Das. 1. ed. Springer, Cham, 2021. p. 326-337 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12938).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - A Privacy-Preserving Peer-to-Peer Accommodation System Based on a Credit Network

AU - Li, Songwei

AU - Wang, Zhen

AU - Zhang, Chi

AU - Wei, Lingbo

AU - Liu, Jianqing

AU - Ma, Ying

AU - Fang, Yuguang

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Bitcoin

KW - Blockchain

KW - Credit network

KW - P2P accommodation

KW - Privacy-preserving

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85115700251&origin=recordpage

U2 - 10.1007/978-3-030-86130-8_26

DO - 10.1007/978-3-030-86130-8_26

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-3-030-86129-2

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 326

EP - 337

BT - Wireless Algorithms, Systems, and Applications - 16th International Conference, WASA 2021, Proceedings, Part II

A2 - Liu, Zhe

A2 - Wu, Fan

A2 - Das, Sajal K.

PB - Springer, Cham

T2 - 16th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2021

Y2 - 25 June 2021 through 27 June 2021

ER -

Li S, Wang Z, Zhang C, Wei L, Liu J, Ma Y et al. A Privacy-Preserving Peer-to-Peer Accommodation System Based on a Credit Network. In Liu Z, Wu F, Das SK, editors, Wireless Algorithms, Systems, and Applications - 16th International Conference, WASA 2021, Proceedings, Part II. 1 ed. Springer, Cham. 2021. p. 326-337. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2021 Sept 9. doi: 10.1007/978-3-030-86130-8_26

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

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