scholarly journals Research on Optimization of Blockchain Network and Data Communication in the Ecological Structure of Sports Industry

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yupeng Li ◽  
Kitak Kim ◽  
Yu Ding

Problems such as excessive centralization of sports industry operations, unclear value, and lack of IP protection hinder the benign interaction between various formats of the sports industry and the healthy operation of the industrial ecosystem. This article is aimed at studying the use of the decentralization, openness and transparency, smart contracts, copyright traceability, and other characteristics of the BT to construct a PCMR model, which can solve the pain points faced by the sports industry ecosystem in a targeted manner, and forming a way to reconstruct trust, the specific implementation path of the integration of BT and sports industry with mechanism as the core. This paper proposes blockchain network and data communication algorithms such as consensus algorithm, signature core algorithm, and practical Byzantine fault-tolerant algorithm to provide technical support for the application of blockchain technology in the sports industry ecosystem and, at the same time, provide technical support for blockchain network and data communication. The feasibility analysis of the application of the sports industry ecosystem is proposed, and the implementation path of the blockchain network and data communication to reconstruct the sports industry ecosystem is analyzed. Finally, the empirical test of the support of blockchain sports to the sports industry is carried out. By analyzing the panel data of 240 observations of 48 listed companies in 5 years as a sample of the sports industry, the experimental results show that the dominant modulus of the sample does not have other differences, and the leftovers all pass significance test at the 10% level at least, denoting that the fundamental sample is more rational.

2017 ◽  
Vol 26 (03) ◽  
pp. 1750002
Author(s):  
Fouad Hanna ◽  
Lionel Droz-Bartholet ◽  
Jean-Christophe Lapayre

The consensus problem has become a key issue in the field of collaborative telemedicine systems because of the need to guarantee the consistency of shared data. In this paper, we focus on the performance of consensus algorithms. First, we studied, in the literature, the most well-known algorithms in the domain. Experiments on these algorithms allowed us to propose a new algorithm that enhances the performance of consensus in different situations. During 2014, we presented our very first initial thoughts to enhance the performance of the consensus algorithms, but the proposed solution gave very moderate results. The goal of this paper is to present a new enhanced consensus algorithm, named Fouad, Lionel and J.-Christophe (FLC). This new algorithm was built on the architecture of the Mostefaoui-Raynal (MR) consensus algorithm and integrates new features and some known techniques in order to enhance the performance of consensus in situations where process crashes are present in the system. The results from our experiments running on the simulation platform Neko show that the FLC algorithm gives the best performance when using a multicast network model on different scenarios: in the first scenario, where there are no process crashes nor wrong suspicion, and even in the second one, where multiple simultaneous process crashes take place in the system.


2020 ◽  
Vol 65 (2) ◽  
pp. 66
Author(s):  
M. Petrescu ◽  
R. Petrescu

The implementation of a fault-tolerant system requires some type of consensus algorithm for correct operation. From Paxos to View-stamped Replication and Raft multiple algorithms have been developed to handle this problem. This paper presents and compares the Raft algorithm and Apache Kafka, a distributed messaging system which, although at a higher level, implements many concepts present in Raft (strong leadership, append-only log, log compaction, etc.).This shows that mechanisms conceived to handle one class of problems (consensus algorithms) are very useful to handle a larger category in the context of distributed systems.


Entropy ◽  
2019 ◽  
Vol 21 (9) ◽  
pp. 887 ◽  
Author(s):  
Xin Sun ◽  
Mirek Sopek ◽  
Quanlong Wang ◽  
Piotr Kulicki

While Blockchain technology is universally considered as a significant technology for the near future, some of its pillars are under a threat of another thriving technology, Quantum Computing. In this paper, we propose important safeguard measures against this threat by developing a framework of a quantum-secured, permissioned blockchain called Logicontract (LC). LC adopts a digital signature scheme based on Quantum Key Distribution (QKD) mechanisms and a vote-based consensus algorithm to achieve consensus on the blockchain. The main contribution of this paper is in the development of: (1) unconditionally secure signature scheme for LC which makes it immune to the attack of quantum computers; (2) scalable consensus protocol used by LC; (3) logic-based scripting language for the creation of smart contracts on LC; (4) quantum-resistant lottery protocol which illustrates the power and usage of LC.


2020 ◽  
Vol 52 ◽  
pp. 101946 ◽  
Author(s):  
Xiongfeng Pan ◽  
Xianyou Pan ◽  
Malin Song ◽  
Bowei Ai ◽  
Yang Ming

2021 ◽  
Author(s):  
Sonya A ◽  
Kavitha G

Abstract There has been noteworthy issues that must be tackled by the healthcare sector along with handling the security concerns that are intensely linked with offering of healthcare services, inculcating novel electronic healthcare systems, and secure data communication with different healthcare and government institutions. These security related concerns project several privacy preserving methodologies pertaining to the privacy and security of EHRs (electronic health records) in the cloud. The EHRs comprises of information related to demographics, medical histories, digital images, medications, lab reports, billing details and other sensitive patient information. All this sensitive patient information is kept highly secured and resides in third party servers with definite access controlling mechanism. The conventional system employs various cryptography algorithm for authorization, encryption, decryption, key generation and validation algorithms. There is proposal of a new cryptography algorithm for combating the limitations of AES, RSA and ABS. For securing the healthcare data residing in the cloud, the research presents effective utilization of new hybrid cryptography algorithm and Blockchain technology with smart contract. Unlike the prevailing three cryptographic algorithms, the proposed algorithm offers enhanced time, accuracy, efficiency and key generation and performance. Overall, there is a drastic transformation in securing the healthcare records using the proposed approach.


2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jianwen Hu ◽  
Yuling Chen ◽  
Xiaojun Ren ◽  
Yixian Yang ◽  
Xiaobin Qian ◽  
...  

As the technical support of the industrial Internet of Things, blockchain technology has been widely used in energy trading, data transactions, and Internet of Vehicles. However, most of the existing energy trading models only address the transaction security and transaction privacy issues that arise in the energy trading process, ignoring the fairness of resource allocation and transaction equity in the trading process. In order to tackle those problems, an energy trading scheme called HO-TRAD is proposed in this paper to improve the efficiency of model trading while ensuring the fairness of energy trading. We propose a new trading strategy in the HO-TRAD energy trading scheme that guarantees fairness in the allocation of trading resources by introducing an entity’s active reputation value. Use smart contracts to achieve transparency and ensure fairness in the transaction process. Based on the identity verification foundation of the consortium chain, the scheme enhances the existing PBFT consensus algorithm and improves the efficiency of model transactions. The experimental simulation indicates that the scheme requires less transaction time and has higher transaction fairness and security.


A blockchain is decentralized immutable ledger technology maintaining integrity. So to conduct tamperproof election it’s one of the approach towards it. Smart contracts are Self executed code that is written on Ethereum platform in blockchain. An E-voting system should be completely secure and does not allow voting twice that is double spending in blockchain. So it should be completely transparent. In research work electronic voting application is implemented and tested using smart contract on Ethereum platform with the help of metamask wallet. The results of ballots and votes will be stored on Ethereum blockchain with the help of consensus algorithm proof of stake. This consensus is used in validating a transaction with concept of majority approval. Current electronic voting system requires a centralized authority to control the procedure from ballot input to result output and for monitoring of election. While blockchain technology provide decentralized system which is open across connected nodes. Blockchain assets provide increased level of system security from hacking and fraud. Every transaction in blockchain is time-stamped and signed digitally with the help of cryptographic algorithms, and it assigns unique hash value to every block so it can be trace easily. Blockchain technology is one of solutions because it embraces a decentralized system and the entire databases are owned by many users. The blockchain technology also has much vulnerability due to which many attacks like 51% attack, Double Spending attack, DDOS attack, Sybil attack, Eclipse attack and Routing attack can be performed on it.


Author(s):  
Kendaganna Swamy S ◽  
Anand Jatti ◽  
Uma B. V

With the rapid increase in demand for high performance computing, there is also a significant growth of data communication that leads to leverage the significance of network on chip. This paper proposes a reconfigurable fault tolerant on chip architecture with hierarchical agent based monitoring system for enhancing the performance of network based multiprocessor system on chip against faulty links and nodes. These distributed agents provide healthy status and congestion information of the network. This status information is used for further packet routing in the network with the help of XY routing algorithm. The functionality of Agent is enhanced not only to work as information provider but also to take decision for packet to either pass or stop to the processing element by setting the firewall in order to provide security. Proposed design provides a better performance and area optimization by avoiding deadlock and live lock as compared to existing approaches over network design.


Author(s):  
Anne-Marie Cotton

L’équipe de recherche du European Communication Monitor (ECM) publie les résultats de la dixième édition de leurs questionnements sur les développements et les dynamiques de la communication stratégique dans 43 pays d’Europe. Dans l’étude 2016 l’analyse des « big data », des algorithmes en communication, des pratiques en communication propres au coaching et au conseil, de l’engagement des parties prenantes, des influenceurs actifs sur les réseaux sociaux, et des savoir, savoir-faire et savoir-être des professionnels de la communication. 2710 professionnels de la communication ont participé à l’étude. Les nombreuses comparaisons avec les résultats de l’ECM 2013 dénoncent la faible évolution du niveau de compétences moyen des professionnels de la communication à l’exception de la prévention et la gestion des crises sur les réseaux sociaux. Dans une optique de standards de la professionnalisation, les chercheurs ont créé le « comparative excellence framework » (CEF) qui vise à identifier les caractéristiques distinguant les professionnels et identifiant les pratiques d’excellence. The research team of the European Communication Monitor (ECM) publishes the results of the tenth edition of their pan-European study on the developments and dynamics of strategic communication in 43 European countries. In the 2016 edition, they focused on the analysis of « big data », communication algorithms, communication practices specifically dealing with coaching and consulting, stakeholders engagement, active influencers on social networks, and the knowledge, skills and know-how of communication professionals. 2710 communication professionals participated in the study. The comparisons with the results of the ECM 2013 reveal a weak evolution of the average level of competences of the communication professionals with the exception of the prevention and the management of crises on the social networks. Willing to support professionalisation standards, the researchers have created the comparative excellence framework (CEF), which aims to identify the characteristics distinguishing professionals and identifying best practices.


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