SENTER - Strengthening European Network Centres of Excellence in Cybercrime

Home » Project of the week » SENTER - Strengthening European Network Centres of Excellence in Cybercrime
Date: 
01/01/2016 to 01/01/2018

Introduction

The main goal of the project is to create a single point of Reference for EU national Cybercrime Centres of Excellence (hereinafter – CoE) and develop further the Network of national CoE into well-defined and well-functioning community

 

Who is the project designed for?

  • LEA organizations: police, prosecutors, judges,
  • Relevant NGO and mediation institutions,
  • Education – police colleges, universities, competence
  • Certification and qualification control bodies
  • Science – Universities, hubs, clusters, R&D institutions or departments
  • International – EUROPOL, INTERPOL, EC3
  • Intersecting domains networks – InSafe, NET

 

How will your project benefit the end-user?

  • The sharing of experience and resources between national cybercrime centres across Europe
  • Best practices that could be used by other countries that do not yet have a national cybercrime centre
  • A business model that could be used in resource-limited EU countries and regions
  • Joint training programmes and international groups of trainers
  • Creating partnerships with similar networks in other parts of the world.

 

 

Week: 
Wednesday, 8 August, 2018

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