Scalable Dynamic Multi-Agent Practical Byzantine Fault-Tolerant Consensus in Permissioned Blockchain

Feng, Libo; Zhang, Hui; Chen, Yong; Lou, Liqi

doi:10.3390/app8101919

Cited by 57 publications

(42 citation statements)

References 30 publications

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“…As everyone can openly obtain access to data in a blockchain and all the network participants own the ledger, it cannot be modified or deleted once information is recorded, thus guaranteeing a higher level of integrity than traditional centralized systems [14]. In addition, as transaction details and data are managed and stored in a distributed manner, problems in some parts of networks do not affect the entire system [15]. Blockchains are classified into public and private blockchains depending on the participation method of participants.…”

Section: Iot Connectivity Technologiesmentioning

confidence: 99%

Scalable and Secure Internet of Things Connectivity

2019

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The Internet of things (IoT) technology, which is currently considered the new growth engine of the fourth industrial revolution, affects our daily life and has been applied to various industrial fields. Studies on overcoming the limitations of scalability and stability in a centralized IoT operating environment by employing distributed blockchain technology have been actively conducted. However, the nature of IoT that ensures connectivity with multiple objects at any time and any place increases security threats. Further, it extends the influence of the cyber world into the physical domain, resulting in serious damage to human life and property. Therefore, we aim to study a method to increase the security of IoT devices and effectively extend them simultaneously. To this end, we analyze the authentication methods and limitations of traditional IoT devices and examine cases for improving IoT environments by using blockchain technology. Accordingly, we propose a framework that allows IoT devices to be securely connected and extended to other devices by automatically evaluating security using blockchain technology and the whitelist. The method proposed in this paper restricts the extension of devices vulnerable to security risks by imposing penalties and allows only devices with high security to be securely and quickly authenticated and extended without user intervention. In this study, we applied the proposed method to IoT network simulation environments and observed that the number of devices vulnerable to security was reduced by 48.5% compared with traditional IoT environments.

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Section: Iot Connectivity Technologiesmentioning

confidence: 99%

Scalable and Secure Internet of Things Connectivity

2019

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“…In [42], the authors modeled the interactions between supply-demand agents with ADI (anima-desire-intention) and six dimensions (physiology, belief, character, knowledge, experience, and context). Other aspects related to agreement among agents include fault tolerant consensus in MAS based blockchain systems [46].…”

Section: Combining Mas and Bctmentioning

confidence: 99%

The Good, the Bad, and the Ethical Implications of Bridging Blockchain and Multi-Agent Systems

et al. 2019

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The agent based approach is a well established methodology to model distributed intelligent systems. Multi-Agent Systems (MAS) are increasingly employed in applications dealing with safety and information critical tasks (e.g., in eHealth, financial, and energy domains). Therefore, transparency and the trustworthiness of the agents and their behaviors must be enforced. For example, employing reputation based mechanisms can promote the development of trust. Nevertheless, besides recent early stage studies, the existing methods and systems are still unable to guarantee the desired accountability and transparency adequately. In line with the recent trends, we advocate that combining blockchain technology (BCT) and MAS can achieve the distribution of the trust, removing the need for trusted third parties (TTP), potential single points of failure. This paper elaborates on the notions of trust, BCT, MAS, and their integration. Furthermore, to attain a trusted environment, this manuscript details the design and implementation of a system reconciling MAS (based on the Java Agent DEvelopment Framework (JADE)) and BTC (based on Hyperledger Fabric). In particular, the agents' interactions, computation, tracking the reputation, and possible policies for disagreement-management are implemented via smart contracts and stored on an immutable distributed ledger. The results obtained by the presented system and similar solutions are also discussed. Finally, ethical implications (i.e., opportunities and challenges) are elaborated before concluding the paper.oriented approaches [6]. Instances of such approaches are multi-agent systems (MAS) [7] that recently gained a crucial role in the development of decentralized intelligent systems, often exchanging sensitive data among them [8]. In such a context, accountability and trusted interactions among trustworthy agents are crucial and entail a considerable number of technical and scientific challenges [9,10]. Although a number of contributions have been made around this topic, several aspects related to security and trust in MAS are still open challenges [11][12][13].Recent works [14][15][16][17] have fueled the idea of combining MAS and blockchain technologies (BCT) [18,19] in order to address some of these issues. In particular, BCT has the potential for enabling more secure, trusted, accountable, autonomous, and flexible interactions among distributed entities, removing the need for a centralized trusted third party or a trusted reputation handler. A recent systematic review [20] provided an extensive description of previous works and relevant attempts for developing models and technical implementations of BCT powered multi-agent systems. However, even if these promising results provide potential solutions for trust and security challenges in MAS, a number of undesired implications also emerge, generating new concerns that need to be addressed. ContributionIn this paper, we study the implications of pairing MAS and BCT, especially regarding the establishment of reputation mechanisms ...

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“…From equation (12), π decreases in θ: if miners in both areas become faster at the same time, the network latency is relatively more important, leading to de facto market fragmentation. Section III focuses on estimating π as a function of the distance between areas and the asymmetry between the number of nodes in each cluster.…”

Section: B Endogenous Adoptionmentioning

confidence: 99%

“…The time to consensus has two components: the CPU computing time and the speed at which the messages are transferred to the network. The number of messages required depends on the specific consensus algorithm (e.g., 2N 2 in practical byzantine fault tolerance algorithm or kN log k N in scalable dynamic multi-agent practical byzantine fault tolerance where the nodes communicates in groups of k nodes [12]).…”

Section: Fig 2: Blockchain Update Algorithmmentioning

confidence: 99%

Fragmentation of Distributed Exchanges

Zoican

2019

SSRN Journal

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Distributed securities exchanges may become de facto fragmented if they span geographical regions with asymmetric computer infrastructure. First, we build an economic model of a decentralized exchange with two miner clusters, standing in for compact areas of economic activity (e.g., cities). "Local" miners in the area with relatively higher trading activity only join a decentralized exchange if they enjoy a large speed advantage over "long-distance" competitors. This is due to a transfer of economic value across miners, specifically from high-to lowactivity clusters. Second, we estimate the speed advantage of "local" over "long-distance" miners in a series of Monte Carlo experiments over a two-cluster, unstructured peer-to-peer network simulated in C. We find that the speed advantage increases in the level of infrastructure asymmetry between clusters. Crossregion DEX blockchains are feasible as long as the asymmetry levels in trading activity and infrastructure availability across regions are positively correlated.

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Scalable Dynamic Multi-Agent Practical Byzantine Fault-Tolerant Consensus in Permissioned Blockchain

Cited by 57 publications

References 30 publications

Scalable and Secure Internet of Things Connectivity

Scalable and Secure Internet of Things Connectivity

The Good, the Bad, and the Ethical Implications of Bridging Blockchain and Multi-Agent Systems

Fragmentation of Distributed Exchanges

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