Collaboration IoT-based RBAC with Trust Evaluation Algorithm Model for Massive IoT Integrated Application

ASIAIR > College of Computer Science > Department of Computer Science and Information Engineering > Journal Artical > Item 310904400/111756

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Title:	Collaboration IoT-based RBAC with Trust Evaluation Algorithm Model for Massive IoT Integrated Application
Authors:	陳興忠;Chen, Hsing-Chung;*
Contributors:	資訊工程學系
Date:	2018-07
Issue Date:	2018-12-25 08:12:23 (UTC+0)
Abstract:	SCI　Impact Factor＝2.497 ;JCR 2017; With the recent advances in ubiquitous communications and the growing demand for low-power wireless technology, smart IoT device (SID) to access various Internet of Things (IoT) resources through Internet at any time and place alternately. There are some new requirements for integration IoT servers in which each one is individually gathering its local resources in Internet, which cooperatively supports SID to get some flexibility or temporary contract(s) and privileges in order to access their corresponding desired service(s) in a group of collaboration IoT servers. However, traditional access control schemes designed for a single server are not sufficient to handle such applications across multiple collaboration IoT servers to get rich services in IoT environments. It does not take into account both security and efficiency of IoT servers, which securely share their resources. Therefore, the collaboration IoT-based RBAC (Role-based Access Control) with trust evaluation (TE) algorithm model to reducing internal security threats in intra-server and inter server for the massive IoT integrated application is proposed in this paper. Finally, the three trust evaluation algorithms including a local trust evaluation algorithm, a virtual trust evaluation algorithm and a cooperative trust evaluation algorithm in the proposed collaboration IoT-based RBAC model, which are designed and presented for reducing internal security threats in collaborative IoT servers.
Relation:	Mobile Networks and Applications
Appears in Collections:	[Department of Computer Science and Information Engineering] Journal Artical

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