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SIFT: Building an Internet of safe Things

Liang, CJM; Karlsson, BF; Lane, ND; Zhao, F; Zhang, J; Pan, Z; Li, Z; (2015) SIFT: Building an Internet of safe Things. In: Nath, S and Krishnamachari, B and Rowe, A, (eds.) IPSN '15: Proceedings of the 14th International Conference on Information Processing in Sensor Networks. (pp. pp. 298-309). Association for Computing Machinery (ACM): New York, NY, USA. Green open access

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Abstract

As the number of connected devices explodes, the use scenarios of these devices and data have multiplied. Many of these scenarios, e.g., home automation, require tools beyond data visualizations, to express user intents and to ensure interactions do not cause undesired effects in the physical world. We present SIFT, a safety-centric programming platform for connected devices in IoT environments. First, to simplify programming, users express high-level intents in declarative IoT apps. The system then decides which sensor data and operations should be combined to satisfy the user requirements. Second, to ensure safety and compliance, the system verifies whether conflicts or policy violations can occur within or between apps. Through an office deployment, user studies, and trace analysis using a large-scale dataset from a commercial IoT app authoring platform, we demonstrate the power of SIFT and highlight how it leads to more robust and reliable IoT apps.

Type: Proceedings paper
Title: SIFT: Building an Internet of safe Things
Event: 14th International Conference on Information Processing in Sensor Networks (IPSN '15)
ISBN-13: 9781450334754
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/2737095.2737115
Publisher version: http://dx.doi.org/10.1145/2737095.2737115
Language: English
Additional information: Copyright © The Authors 2016.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1503682
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