Visible to the public Research on Cloud Computing Security Evaluation Model Based on Trust Management

TitleResearch on Cloud Computing Security Evaluation Model Based on Trust Management
Publication TypeConference Paper
Year of Publication2018
AuthorsYu, Zihuan
Conference Name2018 IEEE 4th International Conference on Computer and Communications (ICCC)
Date PublishedDec. 2018
PublisherIEEE
ISBN Number978-1-5386-8339-2
KeywordsBig Data trust management, cloud computing, cloud computing security, cloud computing security evaluation model, Cloud Security, cloud services, Computational modeling, computer theory, data credible quantification mechanism, Data security, data unification, DS evidence theory, DS evidence theory method, human factors, Information security, Probability distribution, pubcrawl, quantifiable analysis, resilience, Resiliency, Scalability, security, security assessment model, security of data, sharing applications, subsequent cloud computing service, Trust management, trust management mechanism, Trusted Computing, Uncertainty
Abstract

At present, cloud computing technology has made outstanding contributions to the Internet in data unification and sharing applications. However, the problem of information security in cloud computing environment has to be paid attention to and effective measures have to be taken to solve it. In order to control the data security under cloud services, the DS evidence theory method is introduced. The trust management mechanism is established from the source of big data, and a cloud computing security assessment model is constructed to achieve the quantifiable analysis purpose of cloud computing security assessment. Through the simulation, the innovative way of quantifying the confidence criterion through big data trust management and DS evidence theory not only regulates the data credible quantification mechanism under cloud computing, but also improves the effectiveness of cloud computing security assessment, providing a friendly service support platform for subsequent cloud computing service.

URLhttps://ieeexplore.ieee.org/document/8780657
DOI10.1109/CompComm.2018.8780657
Citation Keyyu_research_2018