CORDIS
EU research results

CORDIS
English EN
Secure Intelligent Methods for Advanced RecoGnition of malware and stegomalware

Secure Intelligent Methods for Advanced RecoGnition of malware and stegomalware

Objective

With the prevailing risk of cybersecurity breaches, improving the cyber security posture and detection algorithms is of utmost importance. Malware is now recognized as the severe threat for commercial and critical IT systems (e.g. financial sector) , but also for citizens (e.g. mobile malware). Still, currently malware is well understood and can be tackled reasonably well. What is becoming more problematic, is the stegomalware and the use of the information hiding techniques by cyber criminals. And here comes SIMARGL: our goal is to focus on this emerging future threat and to significantly improve malware and stegomalware detection. Currently, cyber criminals use quite simple information hiding techniques, but they learn and improve quickly. Our consortium believes that we cannot stay many steps behind, but provide relevant techniques to be prepared for the future attacks and stegomalwre. SIMARGL consortium does not start from scratch (current solutions are described in the proposal) and it features relevant partners, expertise and links to fulfil the project goals.

Programme(s)

H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Topic(s)

SU-ICT-01-2018 - Dynamic countering of cyber-attacks

Call for proposal

H2020-SU-ICT-2018

See other projects for this call

Funding Scheme

IA - Innovation action
Leaflet | Map data © OpenStreetMap contributors, Credit: EC-GISCO, © EuroGeographics for the administrative boundaries

Coordinator

FERNUNIVERSITAT IN HAGEN

Address

Universitatsstrasse 47
58097 Hagen

Germany

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 794 250

Contact the organisation

Participants (13)

Sort alphabetically

Sort by EU Contribution

Expand all

AIRBUS CYBERSECURITY SAS

France

EU Contribution

€ 624 050

CONSIGLIO NAZIONALE DELLE RICERCHE

Italy

EU Contribution

€ 250 000

USTAV MEZINARODNICH VZTAHU V.V.I.

Czechia

EU Contribution

€ 235 000

ITTI SP ZOO

Poland

EU Contribution

€ 293 912,50

NETZFACTOR GMBH

Germany

EU Contribution

€ 121 537,50

NUMERA SISTEMI E INFORMATICA SPA

Italy

EU Contribution

€ 218 750

PLURIBUS ONE SRL

Italy

EU Contribution

€ 271 250

SIVECO ROMANIA SA

Romania

EU Contribution

€ 292 250

THALES SIX GTS FRANCE SAS

France

EU Contribution

€ 585 760

POLITECHNIKA WARSZAWSKA

Poland

EU Contribution

€ 305 000

Agentia de Administrare a Retelei Nationale de Informatica Pentru Educatie si Cercetare

Romania

EU Contribution

€ 396 250

STICHTING CUING FOUNDATION

Netherlands

EU Contribution

€ 456 250

ORANGE POLSKA SPOLKA AKCYJNA

Poland

EU Contribution

€ 140 000

Project information

Grant agreement ID: 833042

Status

Ongoing project

  • Start date

    1 May 2019

  • End date

    30 April 2022

Funded under:

H2020-EU.2.1.1.

  • Overall budget:

    € 6 076 050

  • EU contribution

    € 4 984 260

Coordinated by:

FERNUNIVERSITAT IN HAGEN

Germany

Download

PDF XML

Last update: 3 May 2019

Record number: 222600