In the course of the fourth industrial revolution, or Industry 4.0, the industrial sector is facing a new leap in development: the networking of industry with the virtual world via global networks. Reliable integration and networking of sensors and actuators is indispensable for this. For this reason, together with a team led by Prof. Dr. Adam Wolisz from the Technical University of Berlin, we researched and developed a cloud platform for the global, universal integration and interaction of sensors and actuators in real time. The "Social Sensor Cloud" funded by the European Regional Development Fund (ERDF) is the cornerstone of our Internet of Things platform azeti.io and is based on an open source communication protocol.
Supported by the European Fund for Regional Development (EFRE)
Research area: Communication networks, communication systems
Duration: 2013 - 2016
Joint research project with the Technical University Berlin
especially Prof. Dr.-Ing. Adam Wolisz
from the Institute for Telecommunications Systems, Telecommunications Networks Department. His research focuses mainly on protocols for communication networks, such as sensor networks, cyber-physical systems or network performance evaluation.
In logistics, there is a high density of data that must be accessed at different locations and by different people. A multitude of information about the goods to be transported is crucial: weight, dimensions, contents (dangerous goods, fragile or perishable goods), temperature, humidity (important, especially for the transport of perishable goods), customs information (time, annotation), last opening of the container (time, person), destination, starting point, position log (GPS), and, if necessary, a multitude of other parameters.
This information is required continuously throughout the transport process, as it is dependent on fuel quantities, loading position and customs restrictions, for example. However, it is not optimal to provide this information continuously via cloud, although it can be collected and provided locally by sensors on the container and local gateways. Local access to this information via a "new" connection layer can make a significant contribution to increasing efficiency both in logistics and in many other application areas in the (future) Internet of Things (IoT) (shorter provisioning times for data, less data traffic between gateway and cloud, better utilization of local hardware resources, lower energy consumption of end devices). The link layer of high-performance edge devices is called the "fog layer". The development of a secure fog layer is the central subject of the investigations and innovations in the "SecureFog" research project.
With SecureFog, a secure and at the same time highly efficient IoT platform, exemplary for logistics, is provided and demonstrated for the first time. The innovative security mechanisms of SecureFog are precisely tailored to the requirements of the industrial environment. SecureFog provides both users and service providers with a powerful development environment for fast and secure services in (industrial) IoT.
PHYSEC GmbH offers innovative security concepts for authentication and encryption in the Internet of Things. The PHYSEC technology is based on the unique combination of complexity and information-theoretical cryptography. Through close cooperation with renowned national and international institutes and universities, PHYSEC is constantly working to improve and develop the technology.
The Telecommunications Networks Division (TKN) at TU Berlin is one of the leading research groups in the field of network technologies. TKN is engaged in the design and evaluation of architectures and protocols for communication networks in wireless mobile communication systems with special emphasis on performance optimization and quality assurance (QoS).
In the project SecureFog TKN leads the research activities focusing on the development of scalable fog protocols and their evaluation in the TWIST testbed:
Joint project KMU Innovative
Research area: Communication systems, IT security
Duration: 2018 - 2020
Joint research project with