A Fuzzy Trust Evaluation Model to Enhance Security of cloud System Entities with Petri Net

Authors

1 Master, Mazandaran University of Science and Technology, Behshahr, Iran

2 Associate Professor, Faculty of Computer Science, Islamic Azad University, Sari Branch, Sari, Iran

3 Assistant Professor, University of Science and Technology, Tehran, Iran

Abstract

Trust brings a novel means to improve the security and enable interoperability of current heterogeneous independent cloud platforms. In fact, trust is the most complex relationship among entities, because it is extremely subjective, context-dependant, non-symmetric, uncertain, partially transitive, and difficult to evaluate and establish. In the cloud environment, however, entities potentiallyinitiate transactions with each other without having had prior contacts. However, there  is  no  special  trust  evaluation  model  for a  cloud  computing  environment. This paper,  presents  a  trust  model  based  on  fuzzy  logic  and  fuzzy  mathematics  in  cloud computing  environment  according  to  success  and  failure  interaction  between cloud entities based on the properties and semantics of trust. To compute trust in cloud systems, an algorithm based on proposed model is given and also, we designed the proposed moded with petri net. Simulation results show that the proposed model has some identification and containment capability in synergies cheating, malicious entities identification, promotes interaction between entities, and improves the performance of the entire cloud environment.
 

Keywords

References

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History

  • Receive Date: 16 February 2015
  • Revise Date: 12 August 2020
  • Accept Date: 19 September 2018
  • Publish Date: 20 April 2016

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