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Register a new userAquareum: A Centralized Ledger Enhanced with Blockchain and Trusted Computing
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Added by
Ivan Homoliak Ph.D.
Publication date
2020
fields
Informatics Engineering
and research's language is
English
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Distributed ledger systems (i.e., blockchains) have received a lot of attention recently. They promise to enable mutually untrusted participants to execute transactions, while providing the immutability of the transaction history and censorship resistance. Although decentralized ledgers may become a disruptive innovation, as of today, they suffer from scalability, privacy, or governance issues. Therefore, they are inapplicable for many important use cases, where interestingly, centralized ledger systems quietly gain adoption and find new use cases. Unfortunately, centralized ledgers have also several drawbacks, like a lack of efficient verifiability or a higher risk of censorship and equivocation. In this paper, we present Aquareum, a novel framework for centralized ledgers removing their main limitations. By combining a trusted execution environment with a public blockchain platform, Aquareum provides publicly verifiable, non-equivocating, censorship-evident, private, and high-performance ledgers. Aquareum ledgers are integrated with a Turing-complete virtual machine, allowing arbitrary transaction processing logics, including tokens or client-specified smart contracts. Aquareum is fully implemented and deployment-ready, even with currently existing technologies.
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The data collected from Internet of Things (IoT) devices on various emissions or pollution, can have a significant economic value for the stakeholders. This makes it prone to abuse or tampering and brings forward the need to integrate IoT with a Distributed Ledger Technology (DLT) to collect, store, and protect the IoT data. However, DLT brings an additional overhead to the frugal IoT connectivity and symmetrizes the IoT traffic, thus changing the usual assumption that IoT is uplink-oriented. We have implemented a platform that integrates DLTs with a monitoring system based on narrowband IoT (NB-IoT). We evaluate the performance and discuss the tradeoffs in two use cases: data authorization and real-time monitoring.
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