International Project

Secure Intelligent Methods for Advanced Recognition of Malware and Stegomalware

Short Title: SIMARGL


Principal Investigator: Luca Caviglione
Strategic Areas: Information Technology
Project Areas: CyberSecurity

Staff

Marco Zuppelli

Funding Body

EU H2020-SU-ICT-2018

Year of start/end

2019 / 2022

PDGP CODE

DIT.AD006.047.001

Project Web Site

Activity

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.

HighLight

cybersecurity

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