Distributed Ledger Technology and Fully Homomorphic Encryption: Next-Generation Information-Sharing for Supply Chain Efficiency

Hellwig, Daniel; Huchzermeier, Arnd

doi:10.1007/978-3-030-81945-3_2

Cited by 9 publications

(4 citation statements)

References 26 publications

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“…It is almost technically impossible to manage and verify the private smart contracts' states with fully private program codes, inputs, outputs, and computations as well. There is an entire research field dedicated to solving this problem using homomorphic encryption [131,132].…”

Section: Design Conceptmentioning

confidence: 99%

Toward Building Smart Contract-Based Higher Education Systems Using Zero-Knowledge Ethereum Virtual Machine

Fekete

Kiss

2023

Electronics

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The issuing and verification of higher education certificates, including all higher education documents, still functions in a costly and inappropriately bureaucratic manner. Blockchain technology provides a more secure and consistent way to revolutionize the widely used generalized mechanisms and system concepts. In this paper, the most necessary requirements are examined regarding a blockchain-based higher education system, based on the most well-known research papers. Moreover, the opportunities of working on an education system by maintaining a decentralized structure organization are recommended as well. This paper recommends the most suitable blockchain scaling solution for the architecture of an education system which uses the most state-of-the-art EVM (Ethereum virtual machine) compatible approach to implement the higher education system with all the predefined requirements. It is proven that the explained smart contract-based higher education system, which uses zkEVM (zero-knowledge Ethereum virtual machine), consists of all necessary functionalities and satisfies all predefined requirements. In fact, the recommended system, by using a modular blockchain structure, implements all the functionality and capability of the examined related works in one system, namely GDPR (General Data Protection Regulation), which is compatible and more secure.

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Section: Design Conceptmentioning

confidence: 99%

Toward Building Smart Contract-Based Higher Education Systems Using Zero-Knowledge Ethereum Virtual Machine

Fekete

Kiss

2023

Electronics

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“…This is a remote technology within the Supply Chain, which links organizations to buying, selling, and exchanging their products, and services using Internet-based applications [27,28].…”

Section: Supply Chain Technology For E-servicesmentioning

confidence: 99%

Wireless Sensor Networks and Internet of Things for E-Services Applied Natural Language Processing and Deep Learning

MAH,

Skalna,

Pełech-Pilichowski

2023

Prime Archives in Applied Sciences

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Introduction:The internet of things integration with wireless sensor networks can monitor and record the physical conditions of the environment and forward the collected data to a central location. Natural language processing provides a human-data relationship (H2DR) that deep learning uses to train models of artificial neural networks representing human thoughts.Objective: To present methods on how remote systems collect data and semantically analyze and determine a situation. www.videleaf.com Method and Material: Natural language processing applied deep learning on content extraction and evaluation was examined to showcase the strength of e-services based on WSNs and IoTs. Results:Based on WSNs and IoTs on e-services, a score of 3.61 out of 5 grades was recorded. Conclusion:The study concluded that WSNs and IoTs applied NLP and DL are the best network technologies for E-services to achieve, content awareness, context extraction, summarization, and security standards.

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“…However, a prominent approach the literature is creating confidentiality and privacy driven smart contracts [6]. Solutions that had been introduced in this context combine smart contracts with homomorphic encryption, [24] or zero-knowledge proof [3], [22], adjusting smart contract for secure sharing. The authors of [2] merged blockchain and AI in order to serve both purposes of secure sharing and computing, using smart contracts to automate the generation of parameters for data sharing authorization, where smart contract tracks and collects data.…”

Section: Smart Contracts For Confidential Data Sharingmentioning

confidence: 99%

Confidentiality-preserving, blockchain-based, and data sharing: A survey

Znaki,

Maizate,

Ettaoufik

2023

ITM Web Conf.

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Data sharing has gained tremendous attention in the past few years. Information being the driving power of all strategic decision-making changes as organizations aim to improve their efficiency by sharing insights within departments and collaborating with partners. However, protecting the confidentiality of sensitive information is still one of the biggest challenges when sharing these valuable assets between differ partakers. Blockchain has been one of the technologies that are being explored to solve this problem. Blockchain technology had been renowned as a means of secure asset tracking, provide immutable transaction sharing and had been proven to limit the amount of trust collaborating parties needed to exchange sensitive data. In this paper, we hover the up-to-date, relevant techniques and propositions with regards to confidential data sharing using blockchain related approaches. We will provide a comprehensive comparison between different techniques based on the widely used frameworks and technical schemes summoned and cite the challenges blockchain based applications face in the realm of confidentiality preserving data sharing.

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Distributed Ledger Technology and Fully Homomorphic Encryption: Next-Generation Information-Sharing for Supply Chain Efficiency

Cited by 9 publications

References 26 publications

Toward Building Smart Contract-Based Higher Education Systems Using Zero-Knowledge Ethereum Virtual Machine

Toward Building Smart Contract-Based Higher Education Systems Using Zero-Knowledge Ethereum Virtual Machine

Wireless Sensor Networks and Internet of Things for E-Services Applied Natural Language Processing and Deep Learning

Confidentiality-preserving, blockchain-based, and data sharing: A survey

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