Smart Security Lab (SmartSecLab)

SmartSecLab's research and development is focused on new Artificial Intelligence-based cybersecurity methods towards safer, sustainable, and energy-efficient Smart Environments. The omnipresence of smart appliances and Internet of Things devices undoubtedly brought convenience and a great extent of automation in everyday life.

Key Information

Background

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,  and utilizes both national and international experience in a given domain supported by a public-private partnership and industrial collaboration.

Research Projects

ENViSEC: Artificial Intelligence- enabled Cybersecurity for Future Smart Environments

The overall vision of ENViSEC project is to enhance Smart Environments cybersecurity by introducing intelligent multi-agent data handling, cyber threats sharing, situational awareness and data streams aggregation from Edge devices.

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