LUDUS - Collaborative defense against internet attacks by standing learning and game theory

Date: 
01/11/2016 to 31/10/2019

The aim of the Ludus project is to increase the safety of a large group of Internet users through machine learning and game theory with collaborative defense applied to network traffic. Developed software will be automated to defend based on shared and centralized network user metadata, analysis of attack behaviors, and a collaborative defense strategy.

Partial goals are as follows:

  1. Measure your current network security
  2. Detect attacks using behavioral patterns
  3. Create gaming models and defense strategies that will account for the behavior of all attackers at the same time.
  4. Implement automated software to implement network strategies.
Week: 
Wednesday, 8 August, 2018

News

Outcomes and key themes from ICT 2018 Session on Cybersecurity as key for a Digital Economy and Society

On 5 December 2018, the Digital Single Market of the European Commission sponsored a session on the topic of “Cybersecurity as key for a Digital Economy and Society”. The highly-popular session (over 90 attendees) took place on 5 December 2018 within the flagship ICT2018 Conference in Vienna, Austria.

Khalil Rouhana, Deputy Director General, EC – DG CNECT, kicked off the session with an overview of some of the most pressing issues of the day in cybersecurity: