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Privacy-Preserving Statistical Analysis

This FENTEC use case addresses the privacy-preserving computation of data analytics, focusing on the computation of statistics over large usage data.

Addressing the privacy-preserving computation of data analytics

The objective is to enable WALLIX clients to perform analytics with their clients’ data guaranteeing the privacy of it.

IoC Analysis

LastInfoSec's "IoC Analysis" is a data submission service to determine if the data is considered malicious or not. The malicious data returned will be enriched in order to reduce the time needed for Threat Intelligence teams to analyze the threat.

Threat Feed

LastInfoSec's Threat Feed is a data feed that makes it easier to detect threats within the information system. It contains enriched compromised evidences in order to reduce the time of threat analysis once detected.

 

Cybersecure gateway and solutions for IoT services

Usable and transparent security suite oriented for smart home systems based on Internet of Things (IoT) use, including all the features and capabilities stated in the GHOST project, as follow:

Ethical Stack

The Ethical Stack is a series of tools to support creators of new connected technology to reflect on their product’s ethical and social impacts.

We approach ethics not only as a way of reflecting on technology but also as a way of building it. Our practical approach to ethics in action is based on three different frameworks: virtue ethics, care ethics and the capabilities approach. Materials and resources are intended to help you understand how our approach can be useful in the development of connected technologies.

Papers and publications of SPECIAL

As a research and development project, SPECIAL offers open access to its publications, which includes scientific papers and presentations, studies and essays, and other dissemination material. All of these are available trough the site linked below.

Code Repository

SPECIAL is a H2020-funded project that aims at creating a scalable policy-aware linked data architecture for privacy, transparency and compliance.

We develop technology that:

Ontologies and Vocabularies

As a EU H2020-funded project, SPECIAL aims at making its research and development work publicly accessible. Here, you will find our work publications related to ontologies and vocabularies developed within the project..

SPECIAL project deliverables

Find here the public deliverables created in SPECIAL. Our vision is to reconcile Big Data and personal data protection via an innovative data handling solution and a transparency framework. We develop this technology to ease industry’s difficulties with GDPR compliance and to enable respectful treatment of personal information. This introduces new ways of user interaction on data protection, fostering trusted customer relationships. Thus, we
- build a big data architecture to handle linked data for privacy policies, as well as deploy scalable, queryable encryption

Actions for EU-US Cyber Dialogue

The “Actions for EU-US Cyber Dialogue” is part of the project’s contribution to transatlantic cybersecurity discussions. It outlines potential topics for EU-US collaboration in the health, maritime and finance sectors as well as the challenges faced in these areas. The document also provides actions to enhance EU-US cooperation in these sectors in the short-term and provides an overview of the key cybersecurity policy areas — standards and certification, data protection and privacy and public-private partnerships — that impact bilateral cybersecurity dialogues.

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News

Risk-!n Conference 2022 took place on 19-20 May in Zürich, Switzerland. GEIGER was presented in a dedicated session that built on the comparison of cyber risks and radioactivity, called 'GEIGER - We make the invisible visible!'.

Future Events

The IRIS consortium and the European Cyber Security Organisation (ECSO) have the pleasure to invite you to the official IRIS launch event, taking place virtually on the 5th July from 9:30 to 12:30 CET.

05/07/2022