Research and Development

It is not only practical experience that contributes to the platform being as it is today. In particular, valuable results from research projects with renowned universities and companies have enabled the development and implementation of numerous potentials in the past.

Social Sensor Cloud

Development of a cloud based IoT platform

Secure Fog

Secure fog bonding layer for IoT applications

Social Sensor Cloud

Research idea

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 and is based on an open source communication protocol.

Challenges and results

When designing the cloud platform, particular emphasis was placed on realizing the networking of process interfaces between various internal departments and external companies along the entire value chain. Users have full control over their data, but can also make it available to external companies (or persons). The Social Sensor Cloud acts as a data marketplace where sensor data can be traded. Users can choose in detail which information they want to share and which not. The same applies to subscribers, who can also decide whether to subscribe to certain sensors and store the data received. This allows companies to sell their already collected sensor data as their own product or purchase sensor information. This can lead to new business models, such as the commercial operation of a sensor network.

At the same time, the challenge was to connect a large number of sensors and actuators without generating an enormous amount of data. Typically, a large data stream is transferred from the sensor to the cloud unfiltered and unstructured. To cope with this, a demand-oriented approach was chosen: Sensors are subscribed to as part of the IoT platform. This means that only consciously requested information from so-called "Sensors of Interest" (SOIs) is transferred.

The Social Sensor Cloud further enables the creation of virtual sensors by integrating and combining a variety of physical sensors. Virtual sensors are the (software-based) calculation of sensor values derived from individual physical sensors based on a previously specified model. For example, a virtual sensor can output an overall temperature for a warehouse for sensitive goods, based on averaging all available temperature sensors. Likewise, in the context of industrial production, new parameters (for example time series or cross sections) can be formed to measure performance or even the maintenance intensity of production facilities, if sensors are included in the measurement, which record different things like operating temperature, produced quantities and use of lubricants.

In addition, the SSC supports all common communication protocols to fully cover the existing communication standards and to keep the cloud open for all and every "thing" of IoT. This is because the real added value of information comes from the ability to choose between different sensor data sources and to correlate and analyze this information.


Research Project

Social Sensor Cloud

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.

Secure Fog

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.

Our project contribution:

  • Definition of the requirements for Securefog
  • Creating the system architecture (functional and security architecture)
  • Development of a practical demonstrator and reference scenarios
  • Inclusion and coordination of industry-specific customers and partners


Further project contributions:

Freie Universität Berlin
The Identity Management working group at the FU Berlin exists since November 2014, the Heisenberg group Information and Communication Theory since September 2015, both groups are concerned with the design and evaluation of cryptographic protocols and usable, secure software and IT systems, especially in the context of the Internet of Things. In doing so, the two working groups develop a highly innovative research approach in close cooperation with the combination of hardware- and software-based security anchors. Based on theoretical work on the formal modelling and analysis of both physical random number generators and Physec-based security mechanisms (taking into account limited hardware resources), cryptographic methods for the implementation of the protection goals will be developed, including these security components.

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.

Technische Universität Berlin

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:

  • Energy efficient network joining
  • Proactive caching of security information
  • Orchestration of service components
  • Performance evaluation



Secure Fog

Joint project KMU Innovative

Research area: Communication systems, IT security

Duration: 2018 - 2020

Joint research project with







Research meets Practice

The results of our research projects were significantly incorporated into the further development of our cloud based platform. The scientifically founded results, in combination with valuable practical insights, are the basis for the diversity of our platform.

Benefit from our know-how and start your own Internet of Things project today!

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