• Assessment of Machine Learning Techniques for Building an Efficient IDS 

      Chytas S.P., Maglaras L., Derhab A., Stamoulis G. (2020)
      Intrusion Detection Systems (IDS) are the systems that detect and block any potential threats (e.g. DDoS attacks) in the network. In this project, we explore the performance of several machine learning techniques when used ...
    • From internet of threats to internet of things: A cyber security architecture for smart homes 

      Augusto-Gonzalez J., Collen A., Evangelatos S., Anagnostopoulos M., Spathoulas G., Giannoutakis K.M., Votis K., Tzovaras D., Genge B., Gelenbe E., Nijdam N.A. (2019)
      The H2020 European research project GHOST-Safe-Guarding Home IoT Environments with Personalised Real-time Risk Control-aims to deploy a highly effective security framework for IoT smart home residents through a novel ...