CUING is pleased to announce its involvement in the SIMARGL project, which launched on the 1st of May 2019. SIMARGL stands for Secure Intelligent Methods for Advanced Recognition of Malware and Stegomalware. It is a three-year project funded by the European Union's Horizon 2020 research and innovation programme.
This week, we attended the SIMARGL kick-off meeting at FernUniversität in Hagen, Germany. Some exciting ideas were discussed about how SIMARGL can best combat the pressing problem of malware.
CUING's role within the project is to provide expertise on stegomalware and information hiding methods, as well as to develop a training programme which can ensure that the project's results are effectively disseminated to SIMARGL's end users.
The project also covers a wider range of challenges in the cybersecurity field, such as ransomware and mobile malware. Ultimately, SIMARGL will offer a software toolkit to end users which will enable them to defend against the latest malware and stegomalware threats.
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 (LLIS) approach, hybrid classifiers, and deep learning, just to mention some techniques.
In the SIMARGL project 14 partners from 7 European countries unite their expertise and know-how: FernUniversität in Hagen (the coordinator) and netzfactor GmbH from Germany, Airbus Cybersecurity SAS and Thales SIX GTS France from France, Consiglio Nazionale delle Ricerche, NUMERA S.p.a. and Pluribus-One from Italy, Institute of International Relations from the Czech Republic, ITTI Sp. z o.o., Warsaw University of Technology and CERT Orange Polska from Poland, SIVECO Romania SA and RoEduNet (ARNIEC Agency) from Romania, Stichting CUIng Foundation from the Netherlands.