Analysis of Security in Blockchain: Case Study in 51%-Attack Detecting

Ye, Congcong; Li, Guoqiang; Cai, Hongming; Gu, Yonggen; Fukuda, Akira

doi:10.1109/dsa.2018.00015

Cited by 99 publications

(31 citation statements)

References 9 publications

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“…The incentive layer represents the attractiveness of the blockchain network, as far as the more rewarding incentive is for the miners, the more nodes are attracted to join the network and contribute to the general pool. Also, diversification of the miners allows for a more secure blockchain, thus, reducing the possibility for a 51% attack [40], where more than 50% of the miners are malicious and can perform consensus faster than honest miners. This allows malicious miners to control the blockchain network and to double-spend the cryptocurrency.…”

Section: B Blockchain Infrastructure Modelmentioning

confidence: 99%

A Survey on Blockchain-Based Telecommunication Services Marketplaces

Tkachuk

Ilie

Tutschku

et al. 2022

IEEE Trans. Netw. Serv. Manage.

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Digital marketplaces were created recently to accelerate the delivery of applications and services to customers. Their appealing feature is to activate and dynamize the demand, supply, and development of digital goods, applications, or services.By being an intermediary between producer and consumer, the primary business model for a marketplace is to charge the producer with a commission on the amount paid by the consumer. However, most of the time, the commission is dictated by the marketplace facilitator itself and creates an imbalance in value distribution, where producer and consumer sides suffer monetarily. In order to eliminate the need for a centralized entity between the producer and consumer, a blockchain-based decentralized digital marketplace concept was introduced. It provides marketplace actors with the tools to perform business transactions in a trusted manner and without the need for an intermediary.In this work, we provide a survey on Telecommunication Services Marketplaces (TSMs) which employ blockchain technology as the main trust enabling entity in order to avoid any intermediaries. We provide an overview of scientific and industrial proposals on the blockchain-based online digital marketplaces at large, and TSMs in particular. We consider in this study the notion of telecommunication services as any service enabling the capability for information transfer and, increasingly, information processing provided to a group of users by a telecommunications system. We discuss the main standardization activities around the concepts of TSMs and provide particular use-cases for the TSM business transactions such as SLA settlement. Also, we provide insights into the main foundational services provided by the TSM, as well as a survey of the scientific and industrial proposals for such services. Finally, a prospect for future developments is given.

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Section: B Blockchain Infrastructure Modelmentioning

confidence: 99%

A Survey on Blockchain-Based Telecommunication Services Marketplaces

Tkachuk

Ilie

Tutschku

et al. 2022

IEEE Trans. Netw. Serv. Manage.

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“…The foundations of a double-spend attack require a malicious adversary to control 51% or more of the network's hashing power [19]. This is an advancement to the Sybil attack, which decentralized peer-to-peer networks are vulnerable to.…”

Section: % Attackmentioning

confidence: 99%

The Temtum Consensus Algorithm – A Low Energy Replacement to Proof of Work

Dennis¹,

Owenson²

2020

Computer Science &Amp; Information Technology (CS &Amp; IT)

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This paper presents a novel consensus algorithm deployed within the Temtum cryptocurrency network. An overview of the proof of work consensus algorithm is presented, and gaps in the research are outlined. The Temtum consensus algorithm's unique components, including the Node Participation Document (NPD) and the use of the NIST randomness beacon, are outlined and explained. Comparisons on the cost to attack the consensus algorithm and energy consumption between the Temtum consensus algorithm and Bitcoin's proof of work is presented and evaluated. We conclude this paper summarising the findings of the research and presenting future work to be conducted.

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“…can be chosen. Although, blockchain based solutions are widely accepted for a variety of applications, they are still struggling to ensure security despite their promising characteristics [24]. Blockchain systems can be found vulnerable and there is a trade-off between scalability and security.…”

Section: Image Chain (Ichain) To Prevent False Image Injection Attacksmentioning

confidence: 99%

False Image Injection Prevention Using iChain

Ahmed

2019

Applied Sciences

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The advances in information and communication technology are consistently beneficial for the healthcare sector. A trend in the healthcare sector is the progressive shift in how data are acquired and the storage of such data in different facilities, such as in the cloud, due to the efficiency and effectiveness offered. Digital images related to healthcare are sensitive in nature and require maximum security and privacy. A malicious entity can tamper with such stored digital images to mislead healthcare personnel and the consequences of wrong diagnosis are harmful for both parties. A new type of cyber attack, a false image injection attack (FIIA) is introduced in this paper. Existing image tampering detection measures are unable to guarantee tamper-proof medical data in real time. Inspired by the effectiveness of emerging blockchain technology, a security framework, image chain (iChain) is proposed in this paper to ensure the security and privacy of the sensitive healthcare images. The practical challenges associated with the proposed framework and further research that is required are also highlighted.

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Analysis of Security in Blockchain: Case Study in 51%-Attack Detecting

Cited by 99 publications

References 9 publications

A Survey on Blockchain-Based Telecommunication Services Marketplaces

A Survey on Blockchain-Based Telecommunication Services Marketplaces

The Temtum Consensus Algorithm – A Low Energy Replacement to Proof of Work

False Image Injection Prevention Using iChain

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