Anonymous Authentication on Trust in Blockchain-Based Mobile Crowdsourcing

Mobile crowdsourcing (MCS) has become an effective data collection method due to its mobility, low cost, and flexibility. However, since centralized MCS confronts severe security and privacy risks in reality, many researchers are devoted to building a decentralized MCS system based on blockchain. Despite the effectiveness of these schemes, they fail to offer anonymous authentication on the trust of MCS nodes, although privacy is a main concern in MCS and trust plays an important role in a series of MCS activities such as worker selection and truth discovery. Nevertheless, anonymous authentication on trust is not a trivial issue since trust evaluation usually conflicts with anonymity, which is a necessary privacy requirement in an open MCS environment. To tackle this problem, we leverage Intel Software Guard Extension (SGX) and propose a scheme to anonymously authenticate trust with trustworthy trust evaluation in a blockchain-based MCS system. The scheme employs an SGX-enabled cloud server to periodically alter user public/private key pairs and mix newly altered keys among a number of faked keys in order to ensure unlinkability. Besides, we consider the unique features of MCS and work out a novel trust evaluation method by aggregating both subjective feedback and objective behaviors. Finally, we conduct several analyses and experiments to illustrate its security and efficiency.

Keywords

Anonymous authentication, Mobile crowdsourcing, Trust, Blockchain

DOI

10.1109/JIOT.2020.3018878

Citation

Feng, W, Yan, Z, Yang, L T & Zheng, Q 2022, ' Anonymous Authentication on Trust in Blockchain-Based Mobile Crowdsourcing ', IEEE Internet of Things Journal, vol. 9, no. 16, pp. 14185 - 14202 . https://doi.org/10.1109/JIOT.2020.3018878

Permanent link to this item

https://urn.fi/URN:NBN:fi:aalto-202103312685

Collections

[article-cris] Sähkötekniikan korkeakoulu / ELEC

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