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

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
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IEEE Region 10. Technical Conference (TENCON) - CCT & SP & SAT LOCAL CONFERENCE / REGIONAL CONFERENCE (2017)
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06 November 2017
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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.
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