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Secure Intelligent Methods for Advanced RecoGnition of malware and stegomalware

The mission of SIMARGL is to provide new, innovative and advanced solutions to effectively fight malware, stegomalware, ransomware, badware, mobile malware and other malicious activities in computer networks and applications. 
SIMARGL will offer an integrated and validated toolkit, to improve European cyber security. Additionally, SIMARGL will develop a syllabus and pilot training for a series of modular training courses in cyberattacks management, advanced assurance and protection as well as in the SIMARGL toolkit. Selected LEA's are invited to participate in a targeted analysis of cyber skills gaps. The aim is to plug the existing training gaps and to improve the capabilities of LEA's.
The information collected from this survey will provide SIMARGL with evidence-based data on the most appropriate course content for LEA's. By participating in this survey, you will be assisting the SIMARGL project in achieving its aims and furthering advances in cyber attack detection.
Privacy Notice

A full Privacy Notice for the SIMARGL project as a whole is available here( link ). In relation to the SIMARGL survey your personal data is processed in the following ways:
  • All data collected for the SIMARGL survey will be anonymised EXCEPT when a participant has voluntarily agreed to share their contact information (email address only) for the specific and stated purpose of this research. 
  • Any data collected is explicitly for SIMARGL research purposes only and will not be shared with any other entity.
  • Under the terms of the GDPR, you are entitled to access your personal information. To enquire about personal information, please send an email to: The person responsible for the processing of personal information for this survey is Mr Jart Armin.
Data Protection

The SIMARGL project is fully committed to the protection of personal information. SIMARGL adheres to The European Code of Conduct for Research Integrity. Further information can be found here.

This survey is carried out on behalf of SIMARGL by Stichting CUIng Foundation a registered data controller  (Number FG010575): 
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 833042
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