首页|Research from Beijing University of Technology Broadens Understanding of Blockchain Technology (Collaborative threat intelligence: Enhancing IoT security through blockchain and machine learning integration)
Research from Beijing University of Technology Broadens Understanding of Blockchain Technology (Collaborative threat intelligence: Enhancing IoT security through blockchain and machine learning integration)
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NETL
NSTL
Elsevier
New study results on blockchain technology have been published. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Ensuring robust security in the Internet of Things (IoT) landscape is of paramount importance.” Our news editors obtained a quote from the research from Beijing University of Technology: “This research article presents a novel approach to enhance IoT security by leveraging collaborative threat intelligence and integrating blockchain technology with machine learning (ML) models. The iOS application acts as a central control centre, facilitating the reporting and sharing of detected threats. The shared threat data is securely stored on a blockchain network, enabling ML models to access and learn from a diverse range of threat scenarios. The research focuses on implementing Random Forest, Decision Tree classifier, Ensemble, LSTM, and CNN models on the IoT23 dataset within the context of a Collaborative Threat Intelligence Framework for IoT Security. Through an iterative process, the models’ accuracy is improved by reducing false negatives through the collaborative threat intelligence system. The article investigates the implementation details, privacy considerations, and the seamless integration of ML-based techniques for continuous model improvement.”
Beijing University of TechnologyBeijingPeople’s Republic of ChinaAsiaBlockchain TechnologyCybersecurityCyborgsEmerging TechnologiesMachine LearningTechnology
NETL
NSTL
Elsevier
