An Efficient Indexing on Annotated Metadata for Securing Industrial Internet of Things Objects

Page view(s)
16
Checked on Mar 25, 2024
An Efficient Indexing on Annotated Metadata for Securing Industrial Internet of Things Objects
Title:
An Efficient Indexing on Annotated Metadata for Securing Industrial Internet of Things Objects
Journal Title:
IEEE Region 10. Technical Conference (TENCON) - CCT & SP & SAT LOCAL CONFERENCE / REGIONAL CONFERENCE (2017)
DOI:
Publication URL:
Keywords:
Publication Date:
06 November 2017
Citation:
Abstract:
Many enterprises have recently shown a growing interest in Industry Internet of things (IIoT) to gain competitive advantage. The IIoT is technology concept of combining internet of things, machines, computers and people enabling intelligent business transformational through advanced data analytics. With the growing complexity of IIoT in a large-scale interconnectivity deployment, access control and authorization of IIoT objects such as smart devices, human or computers becomes the pressing requirements. In this paper, we propose SecIIoT, a practical indexing framework on annotated metadata for securing IIoT objects. It supports multi-dimension and large data set processing with flexible and efficient authorization model to meet new security needs of IIoT. In order to demonstrate the validity of the proposed framework, a prototype is implemented with test results. The experimental results showed the authorization model works efficiently in a large-scale deployment to meet new IIoT security needs.
License type:
PublisherCopyrights
Funding Info:
Description:
ISBN:

Files uploaded:

File Size Format Action
fianl-version-efficient-authorization-ng.pdf 408.94 KB PDF Open