The European Network for Cybersecurity (NeCS) PhD School

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Date: 
20/01/2020 to 24/01/2020

The European Network for Cybersecurity (NeCS) PhD School was launched in response to the increasing need of highly qualified experts in cyber-security. The School addresses the issues of training and development of talented junior researchers as indicated in the European Cybersecurity strategy and highlighted in the EC's Digital Agenda.

This year the School is supported by the four most important EU initiatives in this area: the Cybersecurity Competence Networks. They have been launched in 2019, within the H2020 framework, and include CONCORDIA, CyberSec4Europe, ECHO and SPARTA. All of them, put emphasis on the crucial role of education for cybersecurity, proposing new educational and training programmes and new methods of teaching.

The NeCS PhD School is an opportunity for the four pilots to interact with young researchers and to put in practice selected innovations and results. The programme of this year is going to feature a part dedicated to hands-on experiences and exercises, so that students can put in practice the theoretical principles and lessons learned. There will be also the chance to learn and test a Cyber-Range, which is becoming a popular and interesting teaching method for cybersecurity.

Further information and registration: https://necs-winterschool.disi.unitn.it/

Future Events

The third Annual Fraud & Financial Crime Europe will focus on analysing the risks to determine the solutions in combating Fraud and Financial Crime.

01/09/2020 to 02/09/2020

Information security and privacy have already been established as some of the most crucial aspects of technology especially in a world that is migrating to digital applications by the day. This has inevitably led to the emergence of technologies that support the safety and dependability of the ever-increasing sensitive data handled by these applications. Additionally, besides these technologies which target security by their design, there are other technologies, such as machine learning, which could potentially be applied to security in innovative schemes. 

17/09/2020 to 18/09/2020