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Lightweight Storage Framework for Blockchain-Enabled Internet of Things Under Cloud Computing 被引量:2
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作者 Xinyi Qing baopeng ye +3 位作者 Yuanquan Shi Tao Li Yuling Chen Lei Liu 《Computers, Materials & Continua》 SCIE EI 2023年第5期3607-3624,共18页
Due to its decentralized,tamper-proof,and trust-free characteristics,blockchain is used in the Internet of Things(IoT)to guarantee the reliability of data.However,some technical flaws in blockchain itself prevent the ... Due to its decentralized,tamper-proof,and trust-free characteristics,blockchain is used in the Internet of Things(IoT)to guarantee the reliability of data.However,some technical flaws in blockchain itself prevent the development of these applications,such as the issue with linearly growing storage capacity of blockchain systems.On the other hand,there is a lack of storage resources for sensor devices in IoT,and numerous sensor devices will generate massive data at ultra-high speed,which makes the storage problem of the IoT enabled by blockchain more prominent.There are various solutions to reduce the storage burden by modifying the blockchain’s storage policy,but most of them do not consider the willingness of peers.In attempt to make the blockchain more compatible with the IoT,this paper proposes a storage optimization scheme that revisits the system data storage problem from amore practically oriented standpoint.Peers will only store transactional data that they are directly involved in.In addition,a transaction verification model is developed to enable peers to undertake transaction verification with the aid of cloud computing,and an incentive mechanism is premised on the storage optimization scheme to assure data integrity.The results of the simulation experiments demonstrate the proposed scheme’s advantage in terms of storage and throughput. 展开更多
关键词 Blockchain internet of things storage optimization transaction verification cloud computing incentive mechanism
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A Differential Privacy Protection Protocol Based on Location Entropy 被引量:1
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作者 Ping Guo baopeng ye +4 位作者 Yuling Chen Tao Li Yixian Yang Xiaobin Qian Xiaomei Yu 《Tsinghua Science and Technology》 SCIE EI CAS CSCD 2023年第3期452-463,共12页
A Location-Based Service(LBS)refers to geolocation-based services that bring both convenience and vulnerability.With an increase in the scale and value of data,most existing location privacy protection protocols canno... A Location-Based Service(LBS)refers to geolocation-based services that bring both convenience and vulnerability.With an increase in the scale and value of data,most existing location privacy protection protocols cannot balance privacy and utility.To solve the revealing problems in LBS,we propose a differential privacy protection protocol based on location entropy.First,we design an algorithm of the best-assisted user selection for constructing anonymity sets.Second,we employ smart contracts to evaluate the credibility of participants,which ensures the honesty of participants.Moreover,we provide a comprehensive experiment;the theoretical analysis and experiments show that the proposed protocol effectively resists background knowledge attacks.Generally,our protocol improves data availability.Particularly,it realizes user-controllable privacy protection,which improves privacy protection and strengthens security. 展开更多
关键词 Location-Based Services(LBS) smart contract location entropy differential privacy privacy protection
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