CONNECTED - Towards secure and private personal-data-based online services in the networked world

01/01/2017 to 31/07/2018

Project Description:

The Internet has become essential to our lives and economies. In particular, it supports a host of personal-data-based online services that we use in almost all our daily activities (for recommendations, social networking, etc.). Thanks to the collection of large amounts of personal data about individuals, such services can provide high value for their users. Despite their success, however, personal-data-based online services increasingly suffer security and privacy problems that strongly affect the trust of users and their willingness to release data, hence holding back the great potential of these services.

Personal-data-based online services rely on learning algorithms to (i) learn from personal data to deliver personalized services and (ii) implement security defenses. In both cases, they use standard learning algorithms developed for data that is independent from the algorithm. Personal data is, however, a very special type of data: it is provided by human agents who can strategically obfuscate it in order to protect their privacy. As a result, standard learning algorithms are unable to combine user privacy and good learning accuracy. Similarly, security data is generated by strategic attackers to evade detection, which renders standard learning algorithms inefficient.

The broad objective of CONNECTED is to design a new generation of secure and private personal-data-based online services, through the invention of learning algorithms and incentive mechanisms that take into account the strategic nature of data provided or generated by humans to achieve higher performance in practice. To achieve this goal, we propose innovative game-theoretic models involving learning that take into account the agents incentives. We solve the games and use the solutions to design game-theoretic statistical learning methods to optimally learn from personal data and secure the system. We implement and test our new algorithms in a real-world service providing ad analytics.

Wednesday, 12 December, 2018

Project type:


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

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.