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July 2016

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2016-05: Proceedings of the 2nd KuVS Expert Talk on Localization
by Jera Hensel 20 Jul '16

20 Jul '16

The following technical report is available from http://aib.informatik.rwth-aachen.de: Proceedings of the 2nd KuVS Expert Talk on Localization Mathias Pelka, Grigori Goronzy, Jó Agila Bitsch, Horst Hellbrück, and Klaus Wehrle (Editors) AIB 2016-05 Localization is a key technology in the field of medical, industrial and logistics applications. Especially indoor applications benefit from localization, e.g. the knowledge, where personnel is required, scarce resources are available, and goods move. Similarly, autonomous vehicles require reliable localization information for a wide range of tasks. Localization information saves time and money and can also save lives in case of emergency. However, there is no generic solution in near future that will cover all use cases and all environments. With the 2nd Expert Talk on Localization we provide a forum for the presentation and discussion of new research and ideas in a local setting, bringing together experts and practitioners from academia and industry. As a result, a considerable amount of time is devoted to informal and moderated discussions, for instance during the extended breaks. In addition to traditional localization topics such as radio based localization, we also aim at novel technologies by encouraging submissions offering research contributions related to algorithms, stability and reliability, and applications. The high-quality program includes numerous contributions, starting with UWB range-based radio technology approaches, topological simplifications and clustering schemes, as well as automotive applications, together with visual localization approaches and fundamental limits of localization.

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2016-06: The SensorCloud Protocol: Securely Outsourcing Sensor Data to the Cloud
by Jera Hensel 11 Jul '16

11 Jul '16

The following technical report is available from http://aib.informatik.rwth-aachen.de: The SensorCloud Protocol: Securely Outsourcing Sensor Data to the Cloud Martin Henze, René Hummen, Roman Matzutt, and Klaus Wehrle AIB 2016-06 The increasing deployment of sensor networks, ranging from home networks to industrial automation, leads to a similarly growing demand for storing and processing the collected sensor data. To satisfy this demand, the most promising approach to date is the utilization of the dynamically scalable, on-demand resources made available via the cloud computing paradigm. However, prevalent security and privacy concerns are a huge obstacle for the outsourcing of sensor data to the cloud. Hence, sensor data needs to be secured properly before it can be outsourced to the cloud. When securing the outsourcing of sensor data to the cloud, one important challenge lies in the representation of sensor data and the choice of security measures applied to it. In this paper, we present the SensorCloud protocol, which enables the representation of sensor data and actuator commands using JSON as well as the encoding of the object security mechanisms applied to a given sensor data item. Notably, we solely utilize mechanisms that have been or currently are in the process of being standardized at the IETF to aid the wide applicability of our approach.

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