Research on Way of Evaluating Cloud End User Behavior's Credibility Based on the Methodology of Multilevel Fuzzy Comprehensive Evaluation
Title | Research on Way of Evaluating Cloud End User Behavior's Credibility Based on the Methodology of Multilevel Fuzzy Comprehensive Evaluation |
Publication Type | Conference Paper |
Year of Publication | 2017 |
Authors | Yang, Ruilan, Yu, Xuejun |
Conference Name | Proceedings of the 6th International Conference on Software and Computer Applications |
Publisher | ACM |
Conference Location | New York, NY, USA |
ISBN Number | 978-1-4503-4857-7 |
Keywords | indicators of user behavior credibility, Metrics, multi-level fuzzy comprehensive evaluation method, pubcrawl, resilience, Resiliency, Scalability, user behavior, user privacy in the cloud |
Abstract | The development of cloud computing technology and the popularization of cloud services have a great impact on the industry. On the one hand, cloud technology enhances network's operation efficiency and reduces the cost. On the other hand, the cloud resource can be accessed by any network equipment. It increases the chances that the identity of user is misrepresented and then led to many security problems. Therefore, the actual needs of security can't be fully satisfied with controlling the malicious user access to the cloud resource by login authentication that relies solely on current user identity. User is the requester and provider of cloud resources. User behavior's credibility relates to the safety of cloud directly. So it's very important to evaluate whether user behaviors can be trusted or not on cloud. In this paper, the method is studied based on the multilevel fuzzy comprehensive evaluation. And in this evaluation study, indicators of user behavior credibility are carried on a thorough discussion. |
URL | http://doi.acm.org/10.1145/3056662.3056677 |
DOI | 10.1145/3056662.3056677 |
Citation Key | yang_research_2017 |