An anomaly detecting blockchain strategy for secure IoT networks

Alsadi, Naseem; Hilal, Waleed; Surucu, Onur; Giuliani, Alessandro; Gadsden, S. Andrew; Yawney, John; Iskander, Stephan

doi:10.1117/12.2618301

Cited by 2 publications

(1 citation statement)

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“…To further reinforce the advantages introduced by a cognitive blockchain application, we expand on the implementation of a cognitive blockchain architecture within the fundamental methodology proposed by Alsadi et al The proposed method detailed in [2] is based on a network of interconnected IoT devices, where data transmission between nodes is validated through the device characteristics, or fingerprint, of each node. The consensus algorithm uses collective network connectivity and computational power to validate data being appended to the chain.…”

Section: Difficultymentioning

confidence: 99%

A cognitive dynamics framework for practical blockchain applications

Alsadi

Gadsden

Yawney

2023

Disruptive Technologies in Information Sciences VII

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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.

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Section: Difficultymentioning

confidence: 99%