SIMARGL: Secure Intelligent Methods for Advanced Recognition of Malware and Stegomalware

Project Details

  • Scope: International
  • Topic item: cybersecurity
  • Funding Source: EU H2020-SU-ICT-2018
  • Starting Year: 2019
  • End Year: 2022
  • Principal investigator: Luca Caviglione



Project Summary

SIMARGL is a project co-funded by the European Commission under Horizon 2020 programme, to combat the pressing problem of malware. It aims to tackle the new challenges in the cybersecurity field, including information hiding methods, network anomalies, stegomalware, ransomware and mobile malware. SIMARGL will offer an integrated and validated toolkit improving European cyber security. The cutting-edge of the proposed solution stems from the development of a more general approach, one that has the ability to counteract the new, complex malware. SIMARGL will use breakthrough methods and algorithms to analyze the data from networks, such as: concept drift detectors, advanced signal processing and transformations, lifelong learning intelligent systems approach, hybrid classifiers, and deep learning, just to mention some techniques.