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author:

Zhang, Kai (Zhang, Kai.) [1] | Zhang, Yan (Zhang, Yan.) [2] | Li, Yanping (Li, Yanping.) [3] | Liu, Ximeng (Liu, Ximeng.) [4] (Scholars:刘西蒙) | Lu, Laifeng (Lu, Laifeng.) [5]

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EI Scopus SCIE

Abstract:

Attribute-based searchable encryption (ABSE) is a promising encryption mechanism for sharing outsourced encrypted data in clouds, allowing fine-grained access control over data while searching for encrypted data. However, the access policy in the most existing ABSE schemes exists in plaintext, which could expose sensitive information about legitimate data users. Moreover, such schemes delegate complex search operations to a cloud server, which can lead to data tampering and even untrusted results, and single point of failure. In this article, we propose a blockchain (BC)-based anonymous ABSE scheme for data sharing (BADS). First, attributes of the access policy are hidden, thus, providing confidentiality to the set of attributes that satisfy the access policy. Then combining ABSE with BC have features of tamper-proof, integrity verification, and nonrepudiation. In particular, information, such as secure index is stored in BC, while encrypted data is stored in a distributed system called the interplanetary file system (IPFS) to avoid single point of failure. Finally, BADS supports the matching algorithm that perform a fixed number of pairing operations before searching algorithm. We analysis security and evaluate performance to show the efficiency and practicability of BADS.

Keyword:

Attribute-based searchable encryption (ABSE) blockchain (BC) Blockchains Cloud computing Cryptography data sharing Encryption Indexes Keyword search matching policy hiding Servers

Community:

  • [ 1 ] [Zhang, Kai]Shaanxi Normal Univ, Sch Math & Stat, Xian 710119, Peoples R China
  • [ 2 ] [Zhang, Yan]Shaanxi Normal Univ, Sch Math & Stat, Xian 710119, Peoples R China
  • [ 3 ] [Li, Yanping]Shaanxi Normal Univ, Sch Math & Stat, Xian 710119, Peoples R China
  • [ 4 ] [Lu, Laifeng]Shaanxi Normal Univ, Sch Math & Stat, Xian 710119, Peoples R China
  • [ 5 ] [Liu, Ximeng]Fuzhou Univ, Sch Comp & Data Sci, Fuzhou 350116, Peoples R China

Reprint 's Address:

  • [Zhang, Kai]Shaanxi Normal Univ, Sch Math & Stat, Xian 710119, Peoples R China;;

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Source :

IEEE INTERNET OF THINGS JOURNAL

ISSN: 2327-4662

Year: 2024

Issue: 1

Volume: 11

Page: 1685-1697

8 . 2 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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