2022
DOI: 10.3390/app122312026
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BChainGuard: A New Framework for Cyberthreats Detection in Blockchain Using Machine Learning

Abstract: Recently, blockchain technology has appeared as a powerful decentralized tool for data integrity protection. The use of smart contracts in blockchain helped to provide a secure environment for developing peer-to-peer applications. Blockchain has been used by the research community as a tool for protection against attacks. The blockchain itself can be the objective of many cyberthreats. In the literature, there are few research works aimed to protect the blockchain against cyberthreats adopting, in most cases, … Show more

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Cited by 5 publications
(3 citation statements)
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References 32 publications
(32 reference statements)
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“…Paper title [21] Internet of Things A blockchain-based machine learning framework for edge services in IIoT [22] Internet of Things Detection of Security Attacks in Industrial IoT Networks: A Blockchain and Machine Learning Approach [23] Internet of Things Dynamic access control policy based on blockchain and machine learning for the internet of things [24] Supply Chain A blockchain and machine learning-based drug supply chain management and recommendation system for smart pharmaceutical industry [25] Supply Chain A machine learning based approach for predicting blockchain adoption in supply Chain [26] Medicine A blockchain and machine learning based framework for efficient health insurance management [27] Medicine A novel blockchain-enabled heart disease prediction mechanism using machine learning [28] Medicine Blockchain and machine learning in health care and management [29] Medicine Blockchain-orchestrated machine learning for privacy preserving federated learning in electronic health data [30] Medicine Healthcare Ledger Management: A Blockchain and Machine Learning-Enabled Novel and Secure Architecture for Medical Industry [31] Finance An approach to predict and forecast the price of constituents and index of cryptocurrency using machine learning [32] Security A machine learning approach for blockchain-based smart home networks security [33] Security BChainGuard: A New Framework for Cyberthreats Detection in Blockchain Using Machine Learning [34] Security Efficient privacy-preserving machine learning for blockchain network…”
Section: Refs Domainmentioning
confidence: 99%
See 1 more Smart Citation
“…Paper title [21] Internet of Things A blockchain-based machine learning framework for edge services in IIoT [22] Internet of Things Detection of Security Attacks in Industrial IoT Networks: A Blockchain and Machine Learning Approach [23] Internet of Things Dynamic access control policy based on blockchain and machine learning for the internet of things [24] Supply Chain A blockchain and machine learning-based drug supply chain management and recommendation system for smart pharmaceutical industry [25] Supply Chain A machine learning based approach for predicting blockchain adoption in supply Chain [26] Medicine A blockchain and machine learning based framework for efficient health insurance management [27] Medicine A novel blockchain-enabled heart disease prediction mechanism using machine learning [28] Medicine Blockchain and machine learning in health care and management [29] Medicine Blockchain-orchestrated machine learning for privacy preserving federated learning in electronic health data [30] Medicine Healthcare Ledger Management: A Blockchain and Machine Learning-Enabled Novel and Secure Architecture for Medical Industry [31] Finance An approach to predict and forecast the price of constituents and index of cryptocurrency using machine learning [32] Security A machine learning approach for blockchain-based smart home networks security [33] Security BChainGuard: A New Framework for Cyberthreats Detection in Blockchain Using Machine Learning [34] Security Efficient privacy-preserving machine learning for blockchain network…”
Section: Refs Domainmentioning
confidence: 99%
“…Aladhadh et al [33] introduced a framework named BChainGuard for detecting cyber threats in blockchain. The objective of the framework is to identify normal and abnormal behavior in the traffic related to the blockchain network.…”
Section: Blockchain and Machine Learning In Securitymentioning
confidence: 99%
“…It provides a set of tools and resources that make smart contract development and testing easier and more efficient. Truffle includes a Ganache [18] desktop client that simulates a complete Ethereum network environment, enabling developers to develop, test, and debug their smart contracts locally. Truffle also provides built-in smart contract compilers, deployment tools, contract libraries, and other features that help developers to streamline the entire development process.…”
Section: Blockchain Technologymentioning
confidence: 99%