Academic Journal

Intelligent root cause detection in Industry 4.0: a secure cross-validation of blockchain architecture for product failure checker.

التفاصيل البيبلوغرافية
العنوان: Intelligent root cause detection in Industry 4.0: a secure cross-validation of blockchain architecture for product failure checker.
المؤلفون: Anu, P., Renjith, P. N., Agarkar, Aarti Amod, Kousalya, A., Sonker, Abhishek, Gundu, Venkateswarlu
المصدر: Optical & Quantum Electronics; Dec2023, Vol. 55 Issue 14, p1-23, 23p
مصطلحات موضوعية: PRODUCT failure, MANUFACTURING defects, PRODUCT management, INTERNET of things, BLOCKCHAINS, CUSTOMER satisfaction, QUALITY function deployment, INDUSTRY 4.0
مستخلص: With a rising incidence of product failure issues in the e-commerce sector, particularly for third-party vendors, pinpointing the root cause of these failures is critical. This paper introduces an innovative and secure architecture for product failure detection, adapted to the demands of Industry 4.0. The blockchain architecture leverages a Defensible Byzantine State Machine (DBSM) for the trustworthy authentication of Internet of Things (IoT) devices, contributing to the accurate reporting of product failures. Trust values associated with each device, reflecting its transaction history, are periodically updated. A decrease in these values triggers the extraction of novel failure features from client-generated reports, augmenting the defective product management cloud's capabilities. The architecture exhibits an authentication accuracy of 92%, a figure robust against a varying malicious attack rate (25%, 50%, 75%) in a simulated context. This study ultimately contributes to the development of advanced, secure systems for managing product failure and ensuring customer satisfaction in the e-commerce industry. [ABSTRACT FROM AUTHOR]
Copyright of Optical & Quantum Electronics is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
قاعدة البيانات: Complementary Index
الوصف
تدمد:03068919
DOI:10.1007/s11082-023-05479-0