ENViSEC: Artificial Intelligence- enabled Cybersecurity for Future Smart Environments

  • Project period: 2021 - 2022
  • Category: Academic Development

Description

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. Our ambition is to offer a resilient response to cyber-attacks as well as to ensure human-oriented warning and early detection of adversarial actions. Our new method enables multi-level data collection and off-chip Machine Learning model training to reduce the overhead and latency of the Internet of Things (IoT) components. It will contribute towards hardening cybersecurity in a cross-sector context and building an efficient infrastructure in a resource-constrained environment.


Financing

The project is financed by EC/H2020

Participants

  • Andrii Shalaginov

    Andrii Shalaginov

    • Project manager
    • Førsteamanuensis

    Kristiania University College

    School EIT faglig

    Andrii Shalaginov
  • Guru Prasad Bhandari

      Kristiania University College

      Kristiania University College

    • Andreas Lyth

        Kristiania University College

        Kristiania University College

      • Tor-Morten Grønli

        Tor-Morten Grønli

        • Dekan

        Kristiania University College

        School EIT administrasjon

        Tor-Morten Grønli

      Publications

      • Shalaginov, Andrii (2021). Digital Evidences Analysis of embedded devices and IoT Forensics .
      • Shalaginov, Andrii & Grønli, Tor-Morten (2021). ENViSEC: Artificial Intelligence- enabled Cybersecurity for Future Smart Environments.
      • Shalaginov, Andrii & Grønli, Tor-Morten (2021). Workshop on Building Next Generation Internet: Artificial Intelligence-enabled Cybersecurity for IoT in Future Smart Environments.