Research Article
A Cooperative RBAC-Based IoTs Server with Trust Evaluation Mechanism
@INPROCEEDINGS{10.1007/978-3-030-00410-1_5, author={Hsing-Chung Chen}, title={A Cooperative RBAC-Based IoTs Server with Trust Evaluation Mechanism}, proceedings={IoT as a Service. Third International Conference, IoTaaS 2017, Taichung, Taiwan, September 20--22, 2017, Proceedings}, proceedings_a={IOTAAS}, year={2018}, month={10}, keywords={Role-based Access Control (RBAC) Cooperative RBAC Internet of Things Trust evaluation}, doi={10.1007/978-3-030-00410-1_5} }- Hsing-Chung Chen
Year: 2018
A Cooperative RBAC-Based IoTs Server with Trust Evaluation Mechanism
IOTAAS
Springer
DOI: 10.1007/978-3-030-00410-1_5
Abstract
With the recent advances in ubiquitous communications and the growing demand for low-power wireless technology, smart mobile device (SMD) access various Internet of Things (IoTs) resources through heterogeneous wireless networks (HWNs) at any time and place alternately. There are some new requirements for integrating IoTs servers in which each one is individually gathering its local resources in HWNs, which cooperatively supports SMD to get some flexibility or temporary contract(s) and privileges in order to access their corresponding desired service(s) in a group of collaboration IoTs servers. However, traditional access control schemes designed for a single server are not sufficient to handle such applications across multiple cooperative IoTs servers to get rich services in IoTs environments. It does not take into account both security and efficiency of IoTs servers, which securely share their resources. Therefore, the cooperative IoTs-based RBAC (Role-based Access Control) model with trust evaluation function for reducing internal security threat in the RBAC servers is proposed in this paper, where RBAC is an access control mechanism via managing the users’ roles and giving their corresponding access rights. Finally, a cooperative RBAC model with both trust evaluation function and cooperation trust evaluation function is designed and presented for reducing internal security threats in collaborative IoTs servers.