| Title | User Behavior Trust Modeling in Cloud Security |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Alruwaythi, M., Kambampaty, K., Nygard, K. |
| Conference Name | 2018 International Conference on Computational Science and Computational Intelligence (CSCI) |
| Keywords | cloud computing, cloud computing infrastructure, Cloud Security, cloud service providers, Computational modeling, could computing, Fuzzy logic, fuzzy login, History, Human Behavior, human factors, human trust, Mathematical model, pubcrawl, security, security of data, Servers, trust computation center, trust evaluation, Trusted Computing, user behavior, user behavior trust model based on fuzzy logic, user behavior trust modeling, user history patterns, user trust value |
| Abstract | Evaluating user behavior in cloud computing infrastructure is important for both Cloud Users and Cloud Service Providers. The service providers must ensure the safety of users who access the cloud. User behavior can be modeled and employed to help assess trust and play a role in ensuring authenticity and safety of the user. In this paper, we propose a User Behavior Trust Model based on Fuzzy Logic (UBTMFL). In this model, we develop user history patterns and compare them current user behavior. The outcome of the comparison is sent to a trust computation center to calculate a user trust value. This model considers three types of trust: direct, history and comprehensive. Simulation results are included. |
| DOI | 10.1109/CSCI46756.2018.00259 |
| Citation Key | alruwaythi_user_2018 |
User Behavior Trust Modeling in Cloud Security