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SocialPrivacy

The SocialPrivacy project aims to understand the issues of privacy at the level of users, commercial enterprises and society (Diagnostic Phase) and then to propose solutions (Generative Phase) which help manage the trade-offs inherent in allowing companies to access users’ personal data, while providing sufficient privacy safeguards.

REVEN-X1

TETRANE wants to further develop REVEN®, a product that automatically discovers, characterizes and helps solving nearly any software flaw that could be exploited by malicious hackers. REVEN represents the only answer to a growing social issue: cybersecurity for critical infrastructure and loss of revenue due to cyberattacks.

REVEN helps to anticipate threats by directly analysing executable binaries (source code is not needed) thanks to the mathematical simulation of processors’ physical structures. Before REVEN, it was considered impossible.

REDSENTRY

REDSENTRY aims to provide a flexible, scalable and open solution to the ever-changing threat landscape faced by the financial services sector. The threats faced by the financial services industry are varied and constantly evolving and cybercrime is the 2nd most reported type of crime by financial institutions according to PWC. The potential impact of cybersecurity incidents is tremendous as the sector accounts for €731 billion (5.9%) of the EU’s total GVA (Gross Value Added) and employs 6.4 million people.

RAPID

RAPID proposed, for the first time, a secure unified model where almost any device or infrastructure, ranging from smartphone, notebook, laptop and desktop to private and public cloud can operate as an accelerated entity and/or as an accelerator serving other less powerful devices in a secure way.

ProBOS

ReaQta develops the next generation cyber security protection solution –ReaQta-core - that can revolutionise the IT security market by offering a higher level of protection to governments and private organisations. ReaQta-core is the first to apply a novel approach that incorporates a unique NanoOS and an Artificial Intelligence Engine to protect endpoints from the most advanced and sophisticated cyberthreats.

PRIVACY4FORENSICS

The forensics investigation requirements are in direct conflict with the privacy rights of those whose actions are being investigated. At the same time, once the private data is exposed it is impossible to ‘undo’ its exposure effects should the suspect is found innocent! Therefore, there is a growing concern in the development of forensic investigation frameworks that respect privacy of the involved entities whiles only need-to-know data are exposed to the forensic investigator.

PRISMS

The PRISMS project analysed the traditional trade-off model between privacy and security and devised a more evidence-based perspective for reconciling privacy and security, trust and concern. It examined how technologies aimed at enhancing security are subjecting citizens to an increasing amount of surveillance and, in many cases, causing infringements of privacy and fundamental rights.

PRISM CODE

The aim of PRISM CODE project was to design some of the fundamental tools for privacy and security of the upcoming distributed services, which are built upon the cooperation of mobile personal devices like smartphones, PDAs, or tablets.

PRECIOSA

The goal of PRECIOSA was to demonstrate that co-operative systems can comply with future privacy regulations by demonstrating that an example application can be endowed with technologies for suitable privacy protection of location related data.

The objectives were the following:

PRACTIS

PRACTIS's mission was to increase readiness and awareness to the impact of emerging technologies on privacy issues among citizens, policy makers and stakeholders. The main goals were to identify and assess evolving impacts on privacy that might result from various emerging technologies and new scientific knowledge and to propose means to cope with potential future risks to privacy in both the legal and social spheres, while maximising the benefits of these new technologies.

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