5 research outputs found
SensorCloud: Towards the Interdisciplinary Development of a Trustworthy Platform for Globally Interconnected Sensors and Actuators
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.Comment: 14 pages, 3 figures, published as technical report of the Department
of Computer Science of RWTH Aachen Universit
User-driven Privacy Enforcement for Cloud-based Services in the Internet of Things
Internet of Things devices are envisioned to penetrate essentially all
aspects of life, including homes and urbanspaces, in use cases such as health
care, assisted living, and smart cities. One often proposed solution for
dealing with the massive amount of data collected by these devices and offering
services on top of them is the federation of the Internet of Things and cloud
computing. However, user acceptance of such systems is a critical factor that
hinders the adoption of this promising approach due to severe privacy concerns.
We present UPECSI, an approach for user-driven privacy enforcement for
cloud-based services in the Internet of Things to address this critical factor.
UPECSI enables enforcement of all privacy requirements of the user once her
sensitive data leaves the border of her network, provides a novel approach for
the integration of privacy functionality into the development process of
cloud-based services, and offers the user an adaptable and transparent
configuration of her privacy requirements. Hence, UPECSI demonstrates an
approach for realizing user-accepted cloud services in the Internet of Things.Comment: 6 pages, 2 figures, 1 listing. The 2nd International Conference on
Future Internet of Things and Cloud (FiCloud-2014