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The SIMARGL project aims to enhance detection algorithms for malware and stegomalware, addressing the evolving threats posed by cyber criminals. By focusing on advanced information hiding techniques, the project seeks to improve cybersecurity measures for both commercial and personal IT systems.
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.…
FERNUNIVERSITAT IN HAGEN
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
France, Elancourt
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
INSTITUTE OF INTERNATIONAL RELATIONS
Czechia, Praha 1
Type: Public body
Activity type: Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)
SME: No
INSTYTUT TECHNIK TELEKOMUNIKACYJNYCH I INFORMATYCZENYCH
Poland, Poznan
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
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