Fortifying the Blockchain: A Systematic Review and Classification of Post-Quantum Consensus Solutions for Enhanced Security and Resilience

Gomes, Jorão; Khan, Sajjad; Svetinovic, Davor

doi:10.1109/access.2023.3296559

Cited by 9 publications

(4 citation statements)

References 56 publications

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“…Likewise, various Bl approaches are discussed in literature that address the security, scalability and integration with QC [34][35][36][37][38]. Table 3 presents the comparative literature analysis over recent QC and Bl studies.…”

Section: Recent Developments and Comparativementioning

confidence: 99%

“…To conduct a comprehensive comparative analysis of the proposed Quantum Blockchain for Medical Data approach against existing security and privacy measures in medical data processing. [34] 2023 To analyze the implications of incorporating post-quantum security measures into blockchain consensus algorithms.…”

Section: Zx-graph Drawing Rulesmentioning

confidence: 99%

“…𝑧 = [𝑥 01 , 𝑥 02 , ..., 𝑥 𝑛(𝑛−1) ] 𝑇 (34) Here, 𝑧 ∈ {0, 1} 𝑛(𝑛+1) is the normal solution. Whereas, the optimal solution can be represented as 𝑧 * with the associated cost of 𝑓 * .…”

Section: Doctor-patient-hospital Modelmentioning

confidence: 99%

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Quantum Computing and ZX-Optimization-based Simulation Model for Blockchain-enabled Healthcare System

Sharma,

Kumar,

Hedabou

2024

Preprint

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QC, as compared to traditional computational methods, are efficient in tackling the complexity and large-scale optimisation problems in complex and critical present healthcare systems. This work uses Q-NLP, Bl, ZX-diagrams and QC-optimization for analyzing the healthcare model consisting of interactions among Dr, Pt, Ht and Bl. BN model is constituted for healthcare interactions, followed by ZX-graph optimisation, quantum circuit generation, analysis, validation, and performance analysis. In the analysis of the results, it has been observed that ZX-diagrams are useful for healthcare system modelling, QC integration and optimisation, and implementation. It is observed that strengths of the potential and drive terms largely impact CPU time variations. The optimisation-level experimentation shows a number of circuit operations and non-local gates. Further, the stability of the proposed model is evaluated using system cycle time variations for quantum circuits and qubits analysis. In circuit depth analysis over four circuits with different lengths, it is observed that there is a minimum of 4.1% and a maximum of 17% circuit depth optimisation.

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Section: Recent Developments and Comparativementioning

confidence: 99%

Section: Zx-graph Drawing Rulesmentioning

confidence: 99%

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Quantum Computing and ZX-Optimization-based Simulation Model for Blockchain-enabled Healthcare System

Sharma,

Kumar,

Hedabou

2024

Preprint

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“…They may lack the necessary active ingredient, contain the wrong ingredient, be of poor quality, have impurities, or be expired and repackaged. Furthermore, the manufacturing facilities for these counterfeit drugs are often inadequate, and the formulations are frequently incorrect [127]. To address this issue, many countries are now mandating or strongly recommending the implementation of drug Tracking and Tracing (TT) systems.…”

Section: Banking Systemmentioning

confidence: 99%

An Examination of Distributed and Decentralized Systems for Trustworthy Control of Supply Chains

Kumar C,

Selvaprabhu

2023

IEEE Access

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Establishing a well-functioning Supply Chain Management (SCM) system is paramount during challenging times such as pandemics, natural disasters, and international conflicts. The complexity of global supply chains necessitates efficient systems, procedures, and personnel to ensure optimal results. Poor coordination among entities can lead to increased counterfeit products, increased ocean transportation costs, more expensive freight brokerage, bottlenecks in cargo flow, congestion, and complications in product accountability. To ensure a smooth and hassle-free operation, it's essential to maintain unambiguity and accuracy throughout every process. Therefore, it is vital to have effective systems, procedures, and personnel in place for SCM. The challenges encountered in SCM can be effectively tackled by utilizing blockchain technology. The architecture of blockchain technology is characterized by its distributed, decentralized and robust safety measures, which guarantee the integrity of data storage and its distribution across a meticulously organized ledger. Users can confidently rely on this innovative design's transparency, reliability, and safety. Implementing blockchain technology carries immense potential in bolstering safety and privacy measures in diverse sectors, including agriculture, healthcare, Goods and Services Tax (GST), academics, e-voting and automobile. This investigation delves into the practical applications of blockchain technology for SCM. It thoroughly analyses existing research and literature to uncover the latest advancements and potential future breakthroughs in this area.

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Quantum blockchain-enabled exchange protocol model for decentralized systems

Joshi,

Choudhury,

Minu

2023

Quantum Inf Process

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Fortifying the Blockchain: A Systematic Review and Classification of Post-Quantum Consensus Solutions for Enhanced Security and Resilience

Cited by 9 publications

References 56 publications

Quantum Computing and ZX-Optimization-based Simulation Model for Blockchain-enabled Healthcare System

Quantum Computing and ZX-Optimization-based Simulation Model for Blockchain-enabled Healthcare System

An Examination of Distributed and Decentralized Systems for Trustworthy Control of Supply Chains

Quantum blockchain-enabled exchange protocol model for decentralized systems

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