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Machine to Machine Trusted Behaviors

Authors:
Margaret Loper
Jeffrey McCreary

Keywords: Internet of Things; Machine-to-Machine Systems; Trusted Behaviors

Abstract:
In the coming decades, we will live in a world surrounded by tens of billions of devices that will interoperate and collaborate in an effort to deliver personalized and autonomic services. Our reliance on these machine-to-machine systems to make decisions on our behalf has profound implications, and makes mechanisms for expressing and reasoning about trust essential. The Georgia Tech Research Institute recently started a strategic initiative on the Internet of Things focusing on trust. We are developing a trust framework for the machine-to-machine domain that classifies leadership functions into three dimensions. We are also developing a live, virtual, constructive platform for the design and validation of trust technologies for fully connected, ubiquitous systems. This work is in an exploratory stage, and our approach and future plans are described in the paper.

Pages: 23 to 26

Copyright: Copyright (c) IARIA, 2014

Publication date: August 24, 2014

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-61208-353-7

Location: Rome, Italy

Dates: from August 24, 2014 to August 28, 2014