Presentation + Paper
15 June 2023 A cognitive dynamics framework for practical blockchain applications
Author Affiliations +
Abstract
Blockchain technology has gained notoriety as the foundation for cryptocurrencies like Bitcoin. However, its possibilities go well beyond that, enabling the deployment of new applications that were not previously feasible as well as enormous improvements to already existing technological applications. Several factors impacting the consensus mechanism must fall within a specific range for a blockchain network to be efficient, sustainable and secure. The long-term sustainability of current networks, like Bitcoin, is in jeopardy due to their relatively uncompromising reconfiguration, which tends to be inflexible, and somewhat independent of environmental circumstances. To provide a systematic methodology for integrating a sustainable and secure adaptive framework, we propose the amalgamation of cognitive dynamic systems theory with blockchain technology, specifically regarding variant network difficulty. A respective architecture was designed with the employment of Long-Short Term Memory (LSTM) to control the difficulty of a network with Proof-of- Work Consensus.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Naseem Alsadi, Stephen A. Gadsden, and John Yawney "A cognitive dynamics framework for practical blockchain applications", Proc. SPIE 12542, Disruptive Technologies in Information Sciences VII, 1254206 (15 June 2023); https://doi.org/10.1117/12.2664067
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KEYWORDS
Blockchain

Network security

Dynamical systems

Cognitive modeling

Network architectures

Machine learning

Mining

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