A New BRB Model for Cloud Security-State Prediction Based on the Large-Scale Monitoring Data
Autor: | Xiaojing Yin, Zhichao Feng, Guanyu Hu, Pei-Li Qiao, Hang Wei, Zhiguo Zhou, Xiao-Xia Han |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
multi-attributes integration
Cloud computing security General Computer Science Computer science business.industry Reliability (computer networking) cloud computing General Engineering Evidential reasoning approach 020206 networking & telecommunications Cloud computing 02 engineering and technology computer.software_genre Constraint (information theory) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing General Materials Science State (computer science) Data mining lcsh:Electrical engineering. Electronics. Nuclear engineering Belief rule base (BRB) business computer security-state prediction lcsh:TK1-9971 |
Zdroj: | IEEE Access, Vol 6, Pp 11907-11920 (2018) |
ISSN: | 2169-3536 |
Popis: | Considering the reliability of the cloud computing system, this paper aims to predict the security state with multiple large-scale attributes in cloud computing system. A double-layer method for predicting the security state of cloud computing system based on the belief rule-base model is proposed, where the evidential reasoning (ER) algorithm is employed to fuse the multiple system indicators of actual cloud system and make a reasonable assessment to describe the cloud security state. This method can utilize quantitative and qualitative information simultaneously. By using the ER algorithm to integrate multiple indicators whose attributes contain much uncertain information, the security state of the cloud computing system can be predicted accurately. Moreover, due to the initial parameters of the proposed models are given by experts that might cause imprecise results, the constraint CMA-ES algorithm is employed as the optimization tool to obtain the optimal parameters. A practical study about the cloud security-state prediction is verified to indicate the potential applications about the proposed prediction model in a cloud computing platform. |
Databáze: | OpenAIRE |
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