Semantic Knowledge Sharing Mechanism Based on Blockchain

Zhang, Botao; Li, Xingzhou; Ren, Hui; Gu, Jinguang

doi:10.1007/978-3-030-32591-6_13

Cited by 8 publications

(5 citation statements)

References 12 publications

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“…BeSharing is a blockchain platform for knowledge sharing in education where academicians can share knowledge in the form of ideas or assignments that are encrypted and prevent modification while protecting the intellectual property rights of the authors [71]. A semantic knowledge sharing platform that has been implemented using blockchain to store a decentralized knowledge graph modified using blockchain transactions and queried as necessary based on an inter-node communication mechanism, has been more effective than a traditional centralized knowledge graph approach for knowledge sharing [72].…”

Section: Pure Blockchain-based Ethical Ksmentioning

confidence: 99%

Ethical Knowledge Sharing Leveraging Blockchain: An Overview

Wijesekara

2024

Sci. Eng. Technol.

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The knowledge that is acquired through a learning process has ethical concerns when shared, as there can be restrictions on the parties who can use the piece of knowledge, redistribution approaches protecting the creator's rights, privacy, and confidentiality concerns, accuracy and trustworthiness, openness and transparency, and informed consent. Blockchain structure encompasses a series of coupled blocks that are intrinsically linked with the conservation of authenticity, ensuring irrefutability, and the semi-anonymity of transactions. As pioneers in reviewing BC-based ethical Knowledge Sharing (KS), we categorize the model into 4 classes and critically evaluate the literature relative to knowledge-associated features, ethical knowledge-sharing aspects, BC-associated features, and network features. We heaped a commencing sample of 69 document references by selecting the literature for eligibility conditions pursued from intellectual resource search platforms, leveraging a profound and overly extended-period technique. We investigate and emphasize that, owing to innate security properties, blockchain can facilitate ethical KS in numerous ways, such as leveraging a dedicated consensus approach for ethical KS (Class 1), leveraging blockchain itself for knowledge storage and sharing due to its mutation-proof, non-tamperable, fault tolerance features (Class 2), ensuring the confidentiality of knowledge by leveraging additional encryption techniques on blockchain (Class 3), and leveraging smart contracts for attribute-based searching, knowledge fusion, access control, reward-driven KS, etc. (Class 4). Critical evaluation unveils that from BC-based ethical KS frameworks, 50% utilize smart contracts with blockchain for knowledge-based activities, 90% leverage progressive BC architecture, 6.7% leverage proof-of-knowledge consensus, 93.4% share propositional knowledge, and 70% share explicit knowledge. Moreover, accuracy, openness and transparency, privacy, trustworthiness, truthfulness, and confidentiality have been the dominant factors in ethical KS principles of interest. Finally, we examine the openings and hurdles of the model of blockchain-based ethical KS, then propose actions to diminish them, and afterward present future directions, implications, and limitations for the concept.

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Section: Pure Blockchain-based Ethical Ksmentioning

confidence: 99%

Ethical Knowledge Sharing Leveraging Blockchain: An Overview

Wijesekara

2024

Sci. Eng. Technol.

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“…In this section our focus is not on works that integrate KG in BlockChain because they are out of the scope of this paper. We refer the reader to [12], [13] and [15] to get more information about Blockchain enhanced by KG. We highlight the works which aim to securing the KG using the BlockChain technology.…”

Section: Knowledge Graph Privacy and Blockchainmentioning

confidence: 99%

“…The authors of [13] found that saving KGs takes more costs than JSON. Other works like [15] is centered on KG semantic sharing based on blockchain in order to decentralize the sharing process and protect the KG integrity. The authors found that using decentralization with blockchain improves the scalability and execution time compared with centralized KG sharing approaches.…”

Section: Knowledge Graph Privacy and Blockchainmentioning

confidence: 99%

“…Several approaches have integrated KG to enhance BC data querying and its reasoning capabilities such as [12], [13] and [14] but a few works like [15] have used BC with KG to keep data sharing privacy and security. In regards to keep only the KG privacy, [1] has proposed to merge BC with IPFS to keep only the KG integrity by saving the data hash on the BC without any access control.…”

Section: Introductionmentioning

confidence: 99%

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PrivyKG: Security and Privacy Preservation of Knowledge Graphs Using BlockChain Technology

Djeddai,

Khemaissia

2023

IJCAI

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Recently, knowledge graph has proved its benefits in AI applications and especially in knowledge representation and reasoning. Therefore, with the huge amount of published data, knowledge graph privacy, trust and integrity take an important role to protect it from illegal access and modification. In this paper, we propose PrivyKG, a new framework which uses the blockchain technology along with an access control based on it to preserve the knowledge graph privacy, integrity, and ensure security and trust. The proposed work has two essential parts to build a decentralized knowledge graph, where the first one uses off-chain storage for ensuring the blockchain scalability and the second one integrates a permissioned Hyperledger Fabric powered with GO smart contracts. The proposed framework is evaluated with a DBpedia dataset that illustrates the efficiency and the feasibility of our proposed against potential threats. Povzetek: Predstavljena je metoda decentraliziranih grafov znanja za bločne aplikacije.

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“…One of the most important recent research papers [ 47 , 48 , 49 ] focused on the statistical perspective problem. The suggested method lowered the threshold of the control mechanism in terms of the hot wallet to lessen the refilling records for the cold wallet and prevent the representation of private keys in the cold wallet during transfer.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of the Security and Reliability of Cryptocurrency Systems Using Knowledge Discovery and Machine Learning Methods

Shahbazi

Byun

2022

Sensors

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Cryptocurrency, often known as virtual or digital currency, is a safe platform and a key component of the blockchain that has recently attracted much interest. Utilizing blockchain technology, bitcoin transactions are recorded in blocks that provide detailed information on all financial transactions. Artificial intelligence (AI) has significant applicability in several industries because of the abundance and processing capacity of large data. One of the main issues is the absence of explanations for AI algorithms in the current decision-making standards. For instance, there is no deep-learning-based reasoning or control for the system’s input or output processes. More particularly, the bias for adversarial attacks on the process interface and learning characterizes existing AI systems. This study suggests an AI-based trustworthy architecture that uses decentralized blockchain characteristics such as smart contracts and trust oracles. The decentralized consensuses of AI predictors are also decided by this system using AI, enabling secure cryptocurrency transactions, and utilizing the blockchain technology and transactional network analysis. By utilizing AI for a thorough examination of a network, this system’s primary objective is to improve the performance of the bitcoin network in terms of transactions and security. In comparison to other state-of-the-art systems, the results demonstrate that the proposed system can achieve very accurate output.

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Semantic Knowledge Sharing Mechanism Based on Blockchain

Cited by 8 publications

References 12 publications

Ethical Knowledge Sharing Leveraging Blockchain: An Overview

Ethical Knowledge Sharing Leveraging Blockchain: An Overview

PrivyKG: Security and Privacy Preservation of Knowledge Graphs Using BlockChain Technology

Analysis of the Security and Reliability of Cryptocurrency Systems Using Knowledge Discovery and Machine Learning Methods

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