An Intelligent Distributed Ledger Construction Algorithm for IoT

Rawlins, Charles; Jagannathan, S

doi:10.1109/ACCESS.2022.3146343

An Intelligent Distributed Ledger Construction Algorithm for IoT

Conference · Fri Oct 01 04:00:00 EDT 2021 · IEEE Access

DOI:https://doi.org/10.1109/ACCESS.2022.3146343· OSTI ID:1839600

Rawlins, Charles ^[1]; Jagannathan, S ^[1]

Missouri Univ. of Science and Technology, Rolla, MO (United States)

Blockchain is the next generation of secure data management that creates near-immutable decentralized storage. Secure cryptography created a niche for blockchain to provide alternatives to wellknown security compromises. However, design bottlenecks with traditional blockchain data structures scale poorly with increased network usage and are extremely computation-intensive. This made the technology difficult to combine with limited devices, like those in Internet of Things networks. In protocols like IOTA, replacement of blockchain’s linked-list queue processing with a lightweight dynamic ledger showed remarkable throughput performance. However, current stochastic algorithms for ledger construction suffer distinct trade-offs between efficiency and security. This work proposed a machine-learning approach with a multi-arm bandit that resolved these issues and was designed for auditing on limited devices. This algorithm was tested in a reinforcement-learning environment simulating the IOTA ledger’s construction with a decision tree. This study showed through regret analysis and experimentation that this approach was secure against manipulation attacks while remaining energy-efficient. Although the IOTA protocol was a pioneer for lightweight distributed ledgers, it is expected that future blockchain protocols will adopt techniques similar to those presented in this work.

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Research Organization:: Kansas City Nuclear Security Campus (KCNSC), Kansas City, MO (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

DOE Contract Number:: NA0002839

OSTI ID:: 1839600

Report Number(s):: NSC-614-4062

Conference Information:: Journal Name: IEEE Access Journal Volume: 10

Country of Publication:: United States

Language:: English

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