Achieving Intelligent Trust-Layer for Internet-of-Things via Self-Redactable Blockchain
- 25 September 2019
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Industrial Informatics
- Vol. 16 (4) , 2677-2686
Abstract
The advances of artificial intelligence (AI) propels big data processing and transmission for Internet-of-Things (IoT), by capturing and structuring big data produced by heterogeneous devices. While applying blockchain to manage IoT devices and associated big data, the blockchain itself suffers from abuse of decentralization from anonymous users. Specifically, it has been utilized to facilitate black market trades and illegal activities. Ateniese et al. proposed using the chameleon hash to derive} redactable blockchain (EuroS&P), which works by embedding a trapdoor in the basic hash function so that block content can be re-written without causing major hard forks. In short, the redacted block hash remains unchanged. However, there is lacking intelligent design where any mistakes observed in the chain can be corrected universally and automatically. This creates disincentives to use redactable blockchain for managing big data or any data-driven business mainly due to ineffective chain redaction. To solve this problem, we propose the notion of the self-redactable blockchain (SRB) to support intelligent execution of chain redaction. Specifically, we propose the first revocable chameleon hash (RCH) to power redactable blockchain. We instantiate how to use our RCH to build SRB as an intelligent trust-layer for IoT. We also give a rigorous analysis as well as comprehensive experiments to validate our proposals. The evidence showed that our proposal is secure and acceptably efficient for IoT devices.Keywords
Funding Information
- National Key Research and Development Program of China Stem Cell and Translational Research (2017YFB0802300, 2018YFB08040505)
- National Natural Science Foundation of China (61872087, 61602092)
- Sichuan Provincial Major Frontier Issues (2016JY0007)
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