VAMOS - Efficient Analysis and Detection of Modern Malware

01/01/2016 to 31/12/2018

The aim of the VAMOS project is the development of novel techniques for the analysis and detection of highly complex malicious code. The basis for this is the analysis technology of the network partner VMRay: unknown files are executed in a virtual environment, their behavior is recorded and analyzed in detail. Due to the high precision of the documentation, considerably larger amounts of data accumulate than with existing analysis systems.

Based on modern concepts of machine learning, methods are to be developed which allow to efficiently investigate this extensive data and to detect novel malicious programs and attack techniques through anomaly detection. For this, abstract patterns of behavior must automatically be recognized, new ones distinguished from those already known, and characteristic behavioral indicators derived from them.

Subsequently, these indicators can then be used by conventional security solutions large-scale and efficient for malicious code detection.

Friday, 10 August, 2018


Pilots for the European Cybersecurity Competence Networks: how can your SME benefit? - 6th Webinar -

The four pilot projects involved in the development of the European Cybersecurity Competence Network will present their plans and upcoming tools and services for SMEs in the webinar on the 2nd of April, 10:00 AM CEST



Future Events

Cyber Insurance and its Contribution to Cyber Risk Mitigation - Leiden March 25-29
25/03/2019 to 29/03/2019

The rise in both the scale and severity of recent cyberattacks demands new thinking about cybersecurity risk and the mitigation and transfer of that risk. Cyber insurance is one potential way to manage risk by transferring damage liability, but the cyber insurance market is immature and the understanding and actuarial knowledge of cyber-risk is currently underdeveloped.

e-SIDES workshop 2019

e-SIDES workshop: Towards Value-Centric Big Data: Connect People, Processes and Technology


2 April 2019

10am to 4pm


e-SIDES is a research project funded by European Commission H2020 Programme that deals with the ethical, legal, social and economic implications of privacy-preserving technologies in different big data context.