ENViSEC: Artificial Intelligence- enabled Cybersecurity for Future Smart Environments

  • Prosjektperiode: 2021 - 2022
  • Kategori: Faglig utviklingsarbeid

Beskrivelse

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.


Finansiering

Prosjektet er finansiert av EC/H2020

Deltakere

  • Andrii Shalaginov

    Andrii Shalaginov

    • Prosjektleder
    • Førsteamanuensis

    Høyskolen Kristiania

    School EIT faglig

    Andrii Shalaginov
  • Guru Prasad Bhandari

      Høyskolen Kristiania

      Høyskolen Kristiania

    • Andreas Lyth

        Høyskolen Kristiania

        Høyskolen Kristiania

      • Tor-Morten Grønli

        Tor-Morten Grønli

        • Professor

        Høyskolen Kristiania

        School EIT faglig

        Tor-Morten Grønli

      Publikasjoner

      • 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.