Blockchain-Based Fair Payment for ABE with Outsourced Decryption

被引:0
作者
Linjian Hong
Kai Zhang
Junqing Gong
Haifeng Qian
机构
[1] East China Normal University,
[2] Shanghai University of Electric Power,undefined
[3] CCCC Intelligence Transportation Co.,undefined
[4] Ltd.,undefined
来源
Peer-to-Peer Networking and Applications | 2023年 / 16卷
关键词
Blockchain; Attribute-based Encryption; Robust fairness; Smart contract;
D O I
暂无
中图分类号
学科分类号
摘要
Attribute-based encryption (ABE) is an advanced public-key encryption supporting fine-grained access control and flexible sharing of encrypted data. However, in many real-world scenarios, users working with resource-limited devices have to outsource the decryption task due to its huge computational overhead while the decryption party is usually considered to be untrusted, thus leading to the fact that the verifiability of computation results is as important as the privacy. Fair payment, a solution to ensure the interests of both participants involved (i.e., user and worker), is introduced. Generally, fairness is guaranteed by the public verifiability so that the correctness of outsourced result can be easily judged by a trusted third party (TTP) when dispute occurs, which is called optimistic fairness. To remove the TTP and achieve robust fairness, most existing solutions try to handle the verifiability issue with zero-knowledge proofs (ZKPs) and blockchain. Nonetheless, there has not been a proper and efficient solution to obtain robust fairness in ABE outsourcing decryption (ABE-OD) scenarios. To address this issue, in this paper we propose a blockchain-based fair payment for ABE-OD scheme. In particular, we construct a CP-ABE-OD scheme with both public and private verifiability based on existing generic schemes and employ smart contract to guarantee the payment fairness, integrated by IPFS to solve the task data storage. Theoretical analysis and experimental results show that our scheme is secure and efficient.
引用
收藏
页码:312 / 327
页数:15
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