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Issue title: Special Section: Fuzzy theoretical model analysis for signal processing
Guest editors: Valentina E. Balas, Jer Lang Hong, Jason Gu and Tsung-Chih Lin
Article type: Research Article
Authors: Lin, Yua; * | Yu, Xuejuna | Glaubitt, Waltherb
Affiliations: [a] Faculty of Information Technology, Beijing University of Technology, Beijing, China | [b] Material Center, Fraunhofer Institute for Silicate Research, Würzburg, Germany
Correspondence: [*] Corresponding author. Yu Lin, Faculty of Information Technology, Beijing University of Technology, 100 Ping Le Yuan Chaoyang District, Beijing 100124, China. E-mail: [email protected].
Abstract: At present, distributed systems have been widely used, and a lot of research has been done on the reliability of distributed systems. However, trusted 3.0 based distributed system node trust behavior recognition research is still relatively rare. This paper focuses on the identification process and evaluation method of distributed node trust behavior. In this paper, call links and resource consumption of software behavior are obtained by burying points during the development phase. Based on the idea of “sense of words and deeds”, this paper compares the pre-acquired trust call links with the resource consumption sample data, in order to obtain a credible real-time software behavior model. This paper will focus on the analysis and extend to the distributed environment, and conduct a trusted analysis of software behavior, which provides a new idea for software trusted behavior analysis.
Keywords: Trust 3.0, distributed nodes, trusted behavior, identification model
DOI: 10.3233/JIFS-179296
Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4621-4631, 2019
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