BeeKeeper 2.0: Confidential Blockchain-Enabled IoT System with Fully Homomorphic Computation

• Published in: Sensors (Basel, Switzerland) Vol. 18; no. 11; p. 3785
• Main Authors: Zhou, Lijing, Wang, Licheng, Ai, Tianyi, Sun, Yiru
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI 05.11.2018; MDPI AG
• Subjects: blockchain; full homomorphism; IoT; outsourcing computation; publicly verifiable secret sharing; outsourcing computation; publicly verifiable secret sharing; blockchain; full homomorphism; IoT
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s18113785

Blockchain-enabled Internet of Things (IoT) systems have received extensive attention from academia and industry. Most previous constructions face the risk of leaking sensitive information since the servers can obtain plaintext data from the devices. To address this issue, in this paper, we propose a decentralized outsourcing computation (DOC) scheme, where the servers can perform fully homomorphic computations on encrypted data from the data owner according to the request of the data owner. In this process, the servers cannot obtain any plaintext data, and dishonest servers can be detected by the data owner. Then, we apply the DOC scheme in the IoT scenario to achieve a confidential blockchain-enabled IoT system, called BeeKeeper 2.0. To the best of our knowledge, this is the first work in which servers of a blockchain-enabled IoT system can perform any-degree homomorphic multiplications and any number of additions on encrypted data from devices according to the requests of the devices without obtaining any plaintext data of the devices. Finally, we provide a detailed performance evaluation for the BeeKeeper 2.0 system by deploying it on Hyperledger Fabric and using Hyperledger Caliper for performance testing. According to our tests, the time consumed between the request stage and recover stage is no more than 3.3 s, which theoretically satisfies the production needs.