• A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing 

      Isaja, Mauro; Nguyen, Phu Hong; Goknil, Arda; Sen, Sagar; Husom, Erik Johannes; Tverdal, Simeon; Anand, Abhilash Ramanathapuram; Jiang, Yunman; Pedersen, Karl John; Myrseth, Per; Stang, Jørgen; Niavis, Harris; Pfeifhofer, Simon; Lamplmair, Patrick (Peer reviewed; Journal article, 2023)
      There is a current wave of a new generation of digital solutions based on intelligent systems, hybrid digital twins and AI-driven optimization tools to assure quality in smart factories. Such digital solutions heavily ...
    • An inclusive Lifecycle Approach for IoT Devices Trust and Identity Management 

      Loupos, Konstantinos; Niavis, Harris; Michalopoulos, Fotis; Misiakoulis, George; Skarmeta, Antonio F.; García, Jesús; Palomares, Angel; Song, Hui; Dautov, Rustem; Giampaolo, Francesca; Mancilla, Rosella; Costantino, Francesca; Van Landuyt, Dimitri; Michiels, Sam; More, Stefan; Xenakis, Christos; Bampatsikos, Michail; Politis, Ilias; Krilakis, Konstantinos; Syvridis, Dimitris (Chapter, 2023)
      ERATOSTHENES is an EC, co-funded, research project strongly considering modern security challenges in the domain of Internet of Things in mind of their huge penetration into our day to day lives. There are a series of ...
    • A Systematic Review of Data Quality in CPS and IoT for Industry 4.0 

      Goknil, Arda; Nguyen, Phu Hong; Sen, Sagar; Politaki, Dimitra; Niavis, Harris; Pedersen, Karl John; Suyuthi, Abdillah; Anand, Abhilash Ramanathapuram; Ziegenbein, Amina (Peer reviewed; Journal article, 2023)
      The Internet of Things (IoT) and Cyber-Physical Systems (CPS) are the backbones of Industry 4.0, where data quality is crucial for decision support. Data quality in these systems can deteriorate due to sensor failures or ...