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Sharing and Automation for Privacy Preserving Attack Neutralization

Objective

SAPPAN aims to develop a platform for sharing and automation to enable privacy preserving and efficient response and recovery utilizing advanced data analysis and machine learning. SAPPAN will provide a cyber threat intelligence system that decreases the effort required by a security analyst to find optimal responses to and ways to recover from an attack. SAPPAN will enable this within a single organization as well as across organisations through novel models for privacy-preserving data processing and sharing. It will enable utilizing external experts for intrusion detection and sharing of knowledge on response and recovery actions while respecting the privacy and confidentiality requirements of individuals and organizations. SAPPAN will enable a European level perspective on advanced cyber security threats detection, response, and recovery making four key contributions that go beyond existing approaches: (1) privacy-preserving aggregation and data analytics including advanced client-side abstractions; (2) federated threat detection based on sharing of anonymised data and sharing of trained machine learning models; (3) standardisation of knowledge in the context of incident response and recovery to enable reuse and sharing; (4) visual, interactive support for Security Operation Center operators. SAPPAN aims to provide solutions for public international institutions and multinational companies who want to enrich their Situational Awareness by sharing cyber security intelligence as well as solutions for small and midsize companies enabling them to outsource intrusion detection. SAPPAN will be demonstrated in the relevant environments of 2 multinational companies, 1 National Research and Education Network (NREN) and 2 Computer Security Incident Response Teams (CSIRT). The consortium consists of 1 NREN, 3 multinational companies, 3 universities and 1 research institute so as to maximise the technical and societal impact, the dissemination and uptake of the results.
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Coordinator

FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

Address

Hansastrasse 27c
80686 Munchen

Germany

Activity type

Research Organisations

EU Contribution

€ 814 250

Participants (7)

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HEWLETT-PACKARD GALWAY LIMITED

Ireland

EU Contribution

€ 450 625

CESNET ZAJMOVE SDRUZENI PRAVNICKYCH OSOB

Czechia

EU Contribution

€ 344 500

Masarykova univerzita

Czechia

EU Contribution

€ 454 750

F-SECURE OYJ

Finland

EU Contribution

€ 496 930

RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN

Germany

EU Contribution

€ 655 690

UNIVERSITAET STUTTGART

Germany

EU Contribution

€ 608 325

DREAMLAB TECHNOLOGIES AG

Switzerland

EU Contribution

€ 350 000

Project information

Grant agreement ID: 833418

Status

Ongoing project

  • Start date

    1 May 2019

  • End date

    30 April 2022

Funded under:

H2020-EU.2.1.1.

  • Overall budget:

    € 4 731 165

  • EU contribution

    € 4 175 070

Coordinated by:

FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

Germany