Key information:

For more information about each participant's background and research, click on the participant's name above, and you will be taken to the person's staff page.

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Our goal is to develop novel data-driven methods to be used on tiniest components of Smart Environment infrastructure to guard privacy and ensure security. AI has proven to be an efficient and resilient measure to combat cybercrimes when it comes to Big Data. The research activities are aimed at different areas both in software development and IoT hardware-wise design approach. The lab is hosted at the School of Economics, Innovation, and Technology, Kristiania University College and utilizes both national and international experience in a given domain supported by a public-private partnership and industrial collaboration.

Core research objectives:

  •     Building Deep Learning energy-efficient methods for network data processing
  •     Researching new cybersecurity frameworks for resource-constrained environments
  •     New security reference models for Smart Environments
  •     Developing “green” AI-protected IoT devices
  •     Rethinking cybersecurity in the domain of Smart Applications
  •     Establishing Security-as-a Service distributed monitoring over IoT ecosystem

Read more about the lab on this site!

Research projects