Optimization framework for Best Approver Selection Method (BASM) and Best Tip Selection Method (BTSM) for IOTA tangle network: Blockchain-enabled next generation Industrial IoT

【Author】 Halgamuge, Malka N.

【Source】COMPUTER NETWORKS

【影响因子】5.493

【Abstract】We develop an optimization framework to increase network scalability and to incorporate a priority level for essential transactions based on the Internet of Things and Application (IOTA) Tangle network for a blockchain-enabled next-generation industrial network. Firstly, we propose a model to count newly arrived tips (transactions) into a selected timeframe and calculate the transaction time before joining the Tangle network as a new tip. Selecting secure transactions for approval requires an accurate tip selection method. Secondly, we develop the Best Tip Selection Method (BTSM) to increase network security and to incorporate the priority level for essential or prioritized IoT transactions. Thirdly, we develop a multiple-objective unconstrained optimization strategy, the Best Approver Selection Method (BASM). The objective of BASM is to optimize the trade-off between the multiplication of network latency and the cumulative weight of transactions and approvers' Tangle time after joining the network. Finally, we estimate the probability of malicious attacks on a Tangle network by assuming the transactions' cumulative weight increases linearly with transaction arrival speed to a Tangle. We adapt the fault-tolerance relationship to secure the system. We then analyze our model to decide that requires us to consider the trade-off between these two factors to obtain the optimal value. Our results show that BTSM and BASM are viable solutions for next-generation Industrial IoT networks with fast machine-to-machine communications. Compared with IOTA and other existing strategies, our proposed model offers the advantage of identifying the probability of malicious attacks with high accuracy; thus minimizing malicious attacks and optimizing the network latency for next-generation Industrial IoT networks. In summary, the proposed mechanism would allow adding more transactions from IoT devices to the IOTA Tangle and discourage existing malicious transactions from verifying new transactions. The proposed mechanism could be utilized in real-world applications, including enabling preference levels for essential or prioritized activities and fault-tolerance adaptation. IOTA aims to play a vital role in the next-generation industrial revolution; our study advances the IOTA Tangle to move a step forward towards this direction.

【Keywords】Blockchain; IOTA; IoT; IoE; Tangle network; Approver; Malicious users; Lazy tip; Double spending; Consensus

【发表时间】2021 NOV 9

【收录时间】2022-01-01

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