DCCRCYSEOct 24, 2013

SensorCloud: Towards the Interdisciplinary Development of a Trustworthy Platform for Globally Interconnected Sensors and Actuators

arXiv:1310.6542v241 citations
Originality Synthesis-oriented
AI Analysis

This work tackles the problem of low user trust in cloud-based systems for personal sensor data, but it is incremental as it provides an overview rather than novel solutions.

The paper addresses adoption barriers for cloud computing in personal sensor and actuator applications by identifying key interdisciplinary challenges, including ease of development, security, privacy, and social dimensions, to increase user trust and attractiveness of such systems.

Although Cloud Computing promises to lower IT costs and increase users' productivity in everyday life, the unattractive aspect of this new technology is that the user no longer owns all the devices which process personal data. To lower scepticism, the project SensorCloud investigates techniques to understand and compensate these adoption barriers in a scenario consisting of cloud applications that utilize sensors and actuators placed in private places. This work provides an interdisciplinary overview of the social and technical core research challenges for the trustworthy integration of sensor and actuator devices with the Cloud Computing paradigm. Most importantly, these challenges include i) ease of development, ii) security and privacy, and iii) social dimensions of a cloud-based system which integrates into private life. When these challenges are tackled in the development of future cloud systems, the attractiveness of new use cases in a sensor-enabled world will considerably be increased for users who currently do not trust the Cloud.

Foundations

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