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2022 | OriginalPaper | Buchkapitel

A Credible Information Fusion Method Based on Cascaded Topology Interactive Traceability

verfasst von : Yueqing Gao, Yuting Shen, Huachun Zhou, Benhui Shi, Lulu Chen, Chu Du

Erschienen in: Mobile Internet Security

Verlag: Springer Nature Singapore

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Abstract

With the increasing scope of distributed system collaboration and the increasing number of participants, how to establish mutual trust in the process of collaboration is an important basis to promote the efficiency of collaboration. A feasible method is to abstract each node of distributed system into network node of complex system to study its interaction and cooperation behavior. Aiming at the problem of trust transmission in the process of information exchange between complex network nodes, this paper proposed a credible information fusion method based on cascaded topology interactive traceability by abstraction of an information fusion and trust model on account of interactive behavior. This method uses local interaction behavior of blockchain traceability methods provide a credible witness local information interaction, through the information credibility evaluation method in specified cascade topology, from the two aspects of information centrality and information similarity. Thus, the credible information fusion formula for the interactive traceability of the domain topology would constructed. At the same time, this paper discusses the typical problems encountered in the adaptive transformation of the existing operating system for blockchain application. Constructive suggestions are put forward for the phased development of combining blockchain with existing systems.

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Metadaten
Titel
A Credible Information Fusion Method Based on Cascaded Topology Interactive Traceability
verfasst von
Yueqing Gao
Yuting Shen
Huachun Zhou
Benhui Shi
Lulu Chen
Chu Du
Copyright-Jahr
2022
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-16-9576-6_4

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