Document Type
Article
Publication Date
10-2014
Publisher
IEEE
Abstract
The concept of Internet of Things (IoT) is rapidly moving from a vision to being pervasive in our everyday lives. This can be observed in the integration of connected sensors from a multitude of devices such as mobile phones, healthcare equipment, and vehicles. There is a need for the development of infrastructure support and analytical tools to handle IoT data, which are naturally big and complex. But, research on IoT data can be constrained by concerns about the release of privately owned data. In this paper, we present the design and implementation results of a synthetic IoT data generation framework. The framework enables research on synthetic data that exhibit the complex characteristics of original data without compromising proprietary information and personal privacy.
Recommended Citation
Please use the publisher's recommended citation. http://ieeexplore.ieee.org/document/7004228/
Comments
Published in the 2014 IEEE International Conference on Big Data
The published version can be found here: http://ieeexplore.ieee.org/document/7004228/