Permissionless Blockchain Systems as Pseudo-Random Number Generators for Decentralized Consensus

Bezuidenhout, Riaan; Nel, Wynand; Maritz, Jacques

doi:10.1109/access.2023.3244403

Cited by 7 publications

(2 citation statements)

References 82 publications

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“…Blockchain offers decentralized governance and removes the need for trust in centralized authorities by proposing consensus mechanisms [24]. Consensus is to reach an agreement on the issue without selecting a leader and to distribute rights.…”

Section: Background and Motivationmentioning

confidence: 99%

A blockchain‐based secure framework for data management

Zorlu,

Ozsoy

2024

IET Communications

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Data management is a crucial requirement due to the autonomous and constrained nature of Unmanned Aerial Vehicles (UAVs), Internet of Things (IoTs), and the aviation domain. The autonomous and restricted nature of these sectors increases the need for a shared, distributed database, strong access control management, consensus in autonomous decision‐making, and effective communication across diverse protocols and devices. This research presents a comprehensive approach and offers a new viewpoint to the field of blockchain while establishing a fundamental baseline for future improvements in data management systems and addressing the shortcomings of previously proposed existing frameworks in order to fulfill the complex needs of secure data management. This study contributes to the advancement of secure and efficient data management systems by implementing robust data monitoring for error detection, ensuring data integrity, and enabling encrypted or anonymous data sharing based on sensitivity levels. Additionally, the integration of diverse devices, enforcement of immutable regulations compliance, and development of permissioned blockchain systems for identity management further enhance the system's capabilities, offering comprehensive solutions for modern data management challenges. In the tests, the proposed framework showed increased successful transactions in all rate controllers. Besides, effect of the validator number on throughput and latency is tested and analyzed thoroughly.

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Section: Background and Motivationmentioning

confidence: 99%

A blockchain‐based secure framework for data management

Zorlu,

Ozsoy

2024

IET Communications

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“…However, the traditional proof-of-work and proof-ofstake consensus models suffer from their own limitations, such as high energy consumption and susceptibility to centralization. Therefore, researchers have been exploring novel consensus models that can overcome these limitations and improve the scalability, security, and efficiency of blockchain networks [1,2,3]. Blockchain technology has gained significant attention in recent years due to its potential to provide a transparent, secure, and decentralized way of storing and exchanging data.…”

Section: Introductionmentioning

confidence: 99%

Nthcmb: Design of an Efficient Novel Trust-Based Hybrid Consensus Model for Securing Blockchain Deployments

Kapse,

Malik,

Kumar

2024

AEJ

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Blockchain deployments require efficient consensus models in order to be scaled for larger networks. Existing consensus models either use stake-levels, trust-levels, authority-levels, etc. or their combinations in order to reduce mining delay while maintaining higher security levels. But these models either have higher energy requirements, lower security, or have linear/exponential relationship between mining delay and length of the chains. Due to these restrictions, the applicability of these models is affected when deployed under real-time network scenarios. To overcome these issues, this text proposes design of an efficient novel trust-based hybrid consensus model for securing blockchain deployments. The proposed model initially uses a hybrid consensus model that fuses Proof-of-Work (PoW), Proof-of-Stake (PoS) with Proof-of-Temporal-Trust (PoTT) for improving security while maintaining higher Quality of Service (QoS) levels. The PoTT Model fuses together temporal mining delay, temporal mining energy, throughput and block mining efficiency in order to generate miner-level trusts. These trust values are fused with Work efficiency and Stake levels and used for selection of miners. The selected miners are used for serving block addition requests, which assists in improving mining speed by 3.2%, reducing energy consumption 4.5%, and improving throughput by 8.5%, while improving block mining efficiency by 2.9% when compared with existing mining optimization models. This performance was validated under Sybil, Finney, Man-in-the-Middle, and Spoofing attacks. Performance of the model was observed to be consistent even under attacks, thereby making it useful for real-time network scenarios.

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