Data Anonymization Tool

Data anonymization techniques open the possibility of releasing personal and sensitive data, while preserving individual's privacy. The data anonymization tool in this context is among others based on k-anonymity, whereby the focus is put on the irreversibility of the released data. The tool aims to calculate the best solution for the given data in terms of cost-efficiency. This is done by means of so-called cost metric calculation as well as the Optimal Lattice Anonymization (OLA) algorithm. A detailed explanation of the OLA algorithm as well as of all including components of the tool can be found in the Deliverable D3.2 of SUPERCLOUD released in the second project period.

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News

EU to strenghten its expertise in cybersecurity research, technology and industrial developmen

Europe is stepping up its protection against cybersecurity threats, and is discussing a new structure of pool of expertise which will help secure the digital single market and increase the EU’s autonomy in the area of cybersecurity.

Europe is currently working on the establishment of a top knowledge base for cybersecurity and a network of national cybersecurity coordination centres called the European Cybersecurity Industrial, Technology and Research Centre and the Network of National Coordination Centres.

Future Events

Cyber Insurance and its Contribution to Cyber Risk Mitigation - Leiden March 25-29
25/03/2019 to 29/03/2019
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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
02/04/2019
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e-SIDES workshop: Towards Value-Centric Big Data: Connect People, Processes and Technology

BRUSSELS

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.