Trust Evaluation Model for Cloud Security Using Fuzzy Theory

Cloud computing is a new kind of computing model which allows users to effectively rent virtualized computing resources on pay as you go model. It offers many advantages over traditional models in IT industries and healthcare as well. However, there is lack of trust between CSUs and CSPs to prevent the extensive implementation of cloud technologies amongst industries. Different models are developed to overcome the uncertainty and complexity between CSP and CSU regarding suitability. Several researchers focused on resource optimization, scheduling and service dependability in cloud computing by using fuzzy logic. But, data storage and security using fuzzy logic have been ignored. In this paper, a trust evaluation model is proposed for cloud computing security using fuzzy theory. Authors evaluates how fuzzy logic increases efficiency in trust evaluation. To validate the effectiveness of proposed FTEM, authors presents a case study of healthcare organization.

[1]  Nima Jafari Navimipour,et al.  A comprehensive study of the trust evaluation mechanisms in the cloud computing , 2017, J. Serv. Sci. Res..

[2]  Rashmi Ranjan Rout,et al.  Learning automata-based trust model for user recommendations in online social networks , 2017, Comput. Electr. Eng..

[3]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[4]  Jungwoo Ryoo,et al.  A Fuzzy-Logic Approach for Evaluating a Cloud Service Provider , 2015, 2015 1st International Conference on Software Security and Assurance (ICSSA).

[5]  Siu-Ming Yiu,et al.  A Dynamic Trust Framework for Opportunistic Mobile Social Networks , 2018, IEEE Transactions on Network and Service Management.

[6]  Fei Tao,et al.  A trust evaluation model towards cloud manufacturing , 2016 .

[7]  Mario Macı́as,et al.  Analysis of a trust model for SLA negotiation and enforcement in cloud markets , 2016, Future Gener. Comput. Syst..

[8]  Syed Hassan Ahmed,et al.  A lightweight trust management algorithm based on subjective logic for interconnected cloud computing environments , 2018, The Journal of Supercomputing.

[9]  Jun Xu,et al.  Research and Development of Trust Mechanism in Cloud Computing , 2015, ICCCS.

[10]  Sungyoung Lee,et al.  Fuzzy Fault Detection in IaaS Cloud Computing , 2016, IMCOM.

[11]  Meng Joo Er,et al.  A New Trust Evaluation Algorithm Between Cloud Entities Based on Fuzzy Mathematics , 2016, Int. J. Fuzzy Syst..

[12]  Xiangke Liao,et al.  Developing a trustworthy computing framework for clouds , 2016, Int. J. Embed. Syst..

[13]  Dimitrios K. Lymberopoulos,et al.  A novel trust evaluation method for Ubiquitous Healthcare based on cloud computational theory , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[14]  Rajkumar Buyya,et al.  A Cloud Trust Evaluation System Using Hierarchical Fuzzy Inference System for Service Selection , 2014, 2014 IEEE 28th International Conference on Advanced Information Networking and Applications.

[15]  Ki-Il Kim,et al.  A study on fuzzy logic based cloud computing , 2018, Cluster Computing.

[16]  Mohammad Reza Meybodi,et al.  Trust propagation algorithm based on learning automata for inferring local trust in online social networks , 2017, Knowl. Based Syst..

[17]  Syed Asad Hussain,et al.  Multilevel classification of security concerns in cloud computing , 2017 .