Technology for processing and analysis of network data in Big Data concept

01/11/2014 to 30/10/2017

The goal of this project is to develop innovative solution for up-to-date services and infrastructure enabling to detect operational and security risks (i.e. attacks, anomalies, failures or decreased service quality). The developed solution will meet customer requirements for processing and analysis of enormous amounts of specific network-related data.

 The solution will enable to collect and store data of various precision and perform deep analysis in real time. It will also allow complex querying over extensive data with interactive responsibility. Deployment in the software-as-a-service and security-as-a-service models should be possible.

 The developed solution should scale and adapt to specific needs. In consequence, it will be applicable by wide range of customers—from large Internet and services providers to small organisations.

Wednesday, 8 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.