Blockchain-Based Service Recommendation Supporting Data Sharing

Yan, Biwei; Yu, Jiguo; Wang, Yue; Guo, Qiang; Chai, Baobao; Liu, Suhui

doi:10.1007/978-3-030-59016-1_48

Cited by 9 publications

(1 citation statement)

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“…In this section, we propose a blockchain-assisted collaborative service recommendation scheme with data sharing. Different from the scheme 4 in [25], we adopt CP-ABE to realize secure data sharing so that we can share data securely while guaranteeing that the cloud platforms can control their own data. CP-ABE embeds the access strategy into the ciphertext, which means that the data owners can determine that who can access these user data.…”

Section: Scheme Overview a Overviewmentioning

confidence: 99%

Blockchain-Assisted Collaborative Service Recommendation Scheme With Data Sharing

et al. 2021

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With the rapid development of cloud computing, a large number of web services have been emerging quickly, which brings a heavy burden for users to choose the services they preferred. In order to suggest web services for users, recommendation algorithms are needed and many of them have been investigated recently. However, most of the existing recommendation schemes are based on centralized historical data, which may lead to single point of failure. Generally, the data contains a lot of sensitive information that could may expose the privacy of users, which makes most cloud platforms reluctant to share their own data. In order to solve the above issues, the secure data sharing among cloud platforms is necessary for better recommendation, which can maximize the profits. In this paper, we propose a blockchain-assisted collaborative service recommendation scheme (BC-SRDS). Specifically, we adopt the ciphertext-policy attribute-based encryption (CP-ABE) algorithm to encrypt the data, which ensures the data confidentiality and realizes secure data sharing. Then, we utilize the blockchain to share data, such that the DoS attack, DDoS attack and single point of failure can be avoided. Meanwhile, the data integrity, tampering-proof of data are guaranteed through the blockchain. And we use locality-sensitive hashing algorithm to recommend the services for users. Finally, it is proved through the security analysis that BC-SRDS is capable of achieving data confidentiality, data integrity and tampering-proof. A series of experiments show that BC-SRDS achieves better recommendation accuracy compared with the existing schemes.

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Section: Scheme Overview a Overviewmentioning

confidence: 99%