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Predictive Security for IoT Platforms and Networks of Smart Objects

Objective

The IoT market is currently undergoing transformation from applications involving semi-passive devices operating within a single platform, to applications involving smart objects with embedded intelligence while spanning multiple platforms. State-of-the-art security mechanisms are not sufficient for protecting end-to-end this wave of IoT applications.
SecureIoT is a joint effort of global leaders in IoT services and IoT cybersecurity to secure the next generation of dynamic, decentralized IoT systems, which will span spanning multiple IoT platforms and networks of smart objects, through implementing a range of predictive IoT security services. SecureIoT will architect predictive security services in-line with leading edge reference architectures (RA) for IoT applications (i.e. RAs of the Industrial Internet Consortium, the OpenFog Consortium and the Platform Industrie 4.0), which will serve as a basis for specifying security building blocks at both the edge and the core of IoT systems. SecureIoT will provide concrete implementations of security data collection, security monitoring and predictive security mechanisms, which will be the basis for offering integrated services for risk assessment, compliance auditing against regulations and directives (e.g. GDPR, NIS, ePrivacy), as well as support to IoT developers based on programming annotations. The services will be open and based on the SECaaS (Security-as-a-Service) paradigm.
The SecureIoT services will be challenged in market driven scenarios and use cases in the areas of smart manufacturing (Industrie 4.0), connected cars and IoT-enabled socially assistive robots. Their deployment will be based on both enterprise-scale globally available IoT platforms and community open source platform of the partners. As part of its exploitation strategy, SecureIoT will integrate a multi-sided market platform in order to offer SECaaS services, but also to enable integration of additional security mechanisms in its ecosystem.

Coordinator

INTRASOFT INTERNATIONAL

Address

Place Du Champ De Mars 5/10
1050 Bruxelles

Belgium

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

EU Contribution

€ 488 500

Participants (14)

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FUJITSU TECHNOLOGY SOLUTIONS GMBH

Germany

EU Contribution

€ 663 000

ATOS SPAIN SA

Spain

EU Contribution

€ 462 500

SIEMENS SRL

Romania

EU Contribution

€ 305 750

SINGULARLOGIC ANONYMI ETAIREIA PLIROFORIAKON SYSTIMATON KAI EFARMOGON PLIROFORIKIS

Greece

EU Contribution

€ 317 500

IDIADA AUTOMOTIVE TECHNOLOGY SA

Spain

EU Contribution

€ 217 100

P@SSPORT HOLLAND BV

Netherlands

EU Contribution

€ 224 375

UBITECH LIMITED

Cyprus

EU Contribution

€ 325 625

INNOVATION SPRINT

Belgium

EU Contribution

€ 326 992,50

DWF GERMANY RECHTSANWALTSGESELLSCHAFT MBH

Germany

EU Contribution

€ 251 250

LUXAI SA

Luxembourg

EU Contribution

€ 270 117,50

INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE

France

EU Contribution

€ 378 250

RESEARCH AND EDUCATION LABORATORY IN INFORMATION TECHNOLOGIES

Greece

EU Contribution

€ 374 375

IT'S OWL CLUSTERMANAGEMENT GMBH

Germany

FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

Germany

EU Contribution

€ 255 000

Project information

Grant agreement ID: 779899

Status

Ongoing project

  • Start date

    1 January 2018

  • End date

    31 December 2020

Funded under:

H2020-EU.2.1.1.

  • Overall budget:

    € 4 860 335

  • EU contribution

    € 4 860 335

Coordinated by:

INTRASOFT INTERNATIONAL

Belgium