Abstract
We are introducing a new computational model for heterogeneous architectures for performing enhanced security validations and processing of transactions on-chain, a model applicable to both permissioned and permissionless blockchains. By proposing an efficient storage model for the Merkle trees involved in the transaction and security validation processing, and combining it with an efficient heterogeneous approach for processing it, we are outlining the improved computational advantages to ensuring attack resilience on-chain, which surpasses the performance of traditional CPU-based approaches by a significant factor.
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Acknowledgment
This work was supported by the West University of Timişoara, BloxHIVE [18] and MOISE project number 240/2020, ID POC/398/1/1, financed by EU and Romanian government. The views expressed in this paper do not necessarily reflect those of the corresponding project’s consortium members.
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Pungila, C., Negru, V. (2022). A Fast Heterogeneous Approach to Enhanced Blockchain Attack Resilience and Mitigation. In: Gude Prego, J.J., de la Puerta, J.G., García Bringas, P., Quintián, H., Corchado, E. (eds) 14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021). CISIS - ICEUTE 2021. Advances in Intelligent Systems and Computing, vol 1400. Springer, Cham. https://doi.org/10.1007/978-3-030-87872-6_1
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