Opendata, web and dolomites

SIMARGL SIGNED

Secure Intelligent Methods for Advanced RecoGnition of malware and stegomalware

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "SIMARGL" data sheet

The following table provides information about the project.

Coordinator
FERNUNIVERSITAT IN HAGEN 

Organization address
address: UNIVERSITATSSTRASSE 47
city: HAGEN
postcode: 58097
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 6˙076˙050 €
 EC max contribution 4˙984˙260 € (82%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-SU-ICT-2018
 Funding Scheme IA
 Starting year 2019
 Duration (year-month-day) from 2019-05-01   to  2022-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FERNUNIVERSITAT IN HAGEN DE (HAGEN) coordinator 794˙250.00
2    AIRBUS CYBERSECURITY SAS FR (ELANCOURT) participant 624˙050.00
3    THALES SIX GTS FRANCE SAS FR (GENNEVILLIERS) participant 585˙760.00
4    STICHTING CUING FOUNDATION NL (AMSTERDAM) participant 456˙250.00
5    Agentia de Administrare a Retelei Nationale de Informatica Pentru Educatie si Cercetare RO (BUCURESTI) participant 396˙250.00
6    POLITECHNIKA WARSZAWSKA PL (WARSZAWA) participant 305˙000.00
7    ITTI SP ZOO PL (POZNAN) participant 293˙912.00
8    SIVECO ROMANIA SA RO (BUCURESTI) participant 292˙250.00
9    PLURIBUS ONE SRL IT (CAGLIARI) participant 271˙250.00
10    CONSIGLIO NAZIONALE DELLE RICERCHE IT (ROMA) participant 250˙000.00
11    USTAV MEZINARODNICH VZTAHU V.V.I. CZ (PRAHA 1) participant 235˙000.00
12    NUMERA SISTEMI E INFORMATICA SPA IT (SASSARI) participant 218˙750.00
13    ORANGE POLSKA SPOLKA AKCYJNA PL (WARSZAWA) participant 140˙000.00
14    NETZFACTOR GMBH DE (BOCHUM) participant 121˙537.00

Map

 Project 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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "SIMARGL" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "SIMARGL" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.2.1.1.)

CloudButton (2019)

Serverless Data Analytics Platform

Read More  

MULTIPOINT (2019)

Multibeam Femtosecond Laser System for High Throughput Micro-drilling of HLFC Structures

Read More  

ACCORDION (2020)

Adaptive edge/cloud compute and network continuum over a heterogeneous sparse edge infrastructure to support nextgen applications

Read More