The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Um sistema móvel de crowdsensing (MCS) utiliza uma multidão de usuários para coletar dados em grande escala usando seus dispositivos móveis de forma eficiente. Os dados coletados geralmente estão vinculados a informações confidenciais, levantando preocupações sobre vazamento de privacidade do usuário. Até o momento, muitas abordagens foram propostas para proteger a privacidade dos usuários, com a maioria contando com uma estrutura centralizada, que apresenta vulnerabilidade a ataques e intrusões. Alguns estudos constroem uma plataforma distribuída explorando uma solução do tipo blockchain, que ainda requer um terceiro totalmente confiável (TTP) para gerenciar uma distribuição confiável de recompensas no MCS. Estimulados pelas deficiências dos métodos atuais, propomos uma estrutura distribuída de proteção à privacidade do usuário que combina blockchain e um ambiente de execução confiável (TEE). A arquitetura proposta gerencia com sucesso a proteção da privacidade dos usuários e uma distribuição precisa de recompensas sem a necessidade de um TTP. Isso ocorre porque os algoritmos de criptografia garantem a confidencialidade dos dados e desvinculam a correlação entre a identidade dos usuários e as informações sensíveis dos dados coletados. Assim, a assinatura do contrato inteligente é usada para gerenciar o depósito do usuário e verificar os dados. Extensos experimentos comparativos verificam a eficiência e eficácia do esquema combinado de blockchain e TEE proposto.
Tao PENG
Guangzhou University
Kejian GUAN
Guangzhou University
Jierong LIU
Guangzhou University
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Tao PENG, Kejian GUAN, Jierong LIU, "A Privacy-Preserving Mobile Crowdsensing Scheme Based on Blockchain and Trusted Execution Environment" in IEICE TRANSACTIONS on Information,
vol. E105-D, no. 2, pp. 215-226, February 2022, doi: 10.1587/transinf.2021BCP0001.
Abstract: A mobile crowdsensing system (MCS) utilizes a crowd of users to collect large-scale data using their mobile devices efficiently. The collected data are usually linked with sensitive information, raising the concerns of user privacy leakage. To date, many approaches have been proposed to protect the users' privacy, with the majority relying on a centralized structure, which poses though attack and intrusion vulnerability. Some studies build a distributed platform exploiting a blockchain-type solution, which still requires a fully trusted third party (TTP) to manage a reliable reward distribution in the MCS. Spurred by the deficiencies of current methods, we propose a distributed user privacy protection structure that combines blockchain and a trusted execution environment (TEE). The proposed architecture successfully manages the users' privacy protection and an accurate reward distribution without requiring a TTP. This is because the encryption algorithms ensure data confidentiality and uncouple the correlation between the users' identity and the sensitive information in the collected data. Accordingly, the smart contract signature is used to manage the user deposit and verify the data. Extensive comparative experiments verify the efficiency and effectiveness of the proposed combined blockchain and TEE scheme.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2021BCP0001/_p
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@ARTICLE{e105-d_2_215,
author={Tao PENG, Kejian GUAN, Jierong LIU, },
journal={IEICE TRANSACTIONS on Information},
title={A Privacy-Preserving Mobile Crowdsensing Scheme Based on Blockchain and Trusted Execution Environment},
year={2022},
volume={E105-D},
number={2},
pages={215-226},
abstract={A mobile crowdsensing system (MCS) utilizes a crowd of users to collect large-scale data using their mobile devices efficiently. The collected data are usually linked with sensitive information, raising the concerns of user privacy leakage. To date, many approaches have been proposed to protect the users' privacy, with the majority relying on a centralized structure, which poses though attack and intrusion vulnerability. Some studies build a distributed platform exploiting a blockchain-type solution, which still requires a fully trusted third party (TTP) to manage a reliable reward distribution in the MCS. Spurred by the deficiencies of current methods, we propose a distributed user privacy protection structure that combines blockchain and a trusted execution environment (TEE). The proposed architecture successfully manages the users' privacy protection and an accurate reward distribution without requiring a TTP. This is because the encryption algorithms ensure data confidentiality and uncouple the correlation between the users' identity and the sensitive information in the collected data. Accordingly, the smart contract signature is used to manage the user deposit and verify the data. Extensive comparative experiments verify the efficiency and effectiveness of the proposed combined blockchain and TEE scheme.},
keywords={},
doi={10.1587/transinf.2021BCP0001},
ISSN={1745-1361},
month={February},}
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TY - JOUR
TI - A Privacy-Preserving Mobile Crowdsensing Scheme Based on Blockchain and Trusted Execution Environment
T2 - IEICE TRANSACTIONS on Information
SP - 215
EP - 226
AU - Tao PENG
AU - Kejian GUAN
AU - Jierong LIU
PY - 2022
DO - 10.1587/transinf.2021BCP0001
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E105-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2022
AB - A mobile crowdsensing system (MCS) utilizes a crowd of users to collect large-scale data using their mobile devices efficiently. The collected data are usually linked with sensitive information, raising the concerns of user privacy leakage. To date, many approaches have been proposed to protect the users' privacy, with the majority relying on a centralized structure, which poses though attack and intrusion vulnerability. Some studies build a distributed platform exploiting a blockchain-type solution, which still requires a fully trusted third party (TTP) to manage a reliable reward distribution in the MCS. Spurred by the deficiencies of current methods, we propose a distributed user privacy protection structure that combines blockchain and a trusted execution environment (TEE). The proposed architecture successfully manages the users' privacy protection and an accurate reward distribution without requiring a TTP. This is because the encryption algorithms ensure data confidentiality and uncouple the correlation between the users' identity and the sensitive information in the collected data. Accordingly, the smart contract signature is used to manage the user deposit and verify the data. Extensive comparative experiments verify the efficiency and effectiveness of the proposed combined blockchain and TEE scheme.
ER -