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CYBER-TRUST

Financiado

Cerrado

Advanced Cyber Threat Intelligence Detection and Mitigation Platform for a Tru...

Advanced Cyber Threat Intelligence Detection and Mitigation Platform for a Trusted Internet of Things The CYBER-TRUST project aims to develop an innovative cyber-threat intelligence gathering, detection, and mitigation platform to tackle the grand challenges towards securing the ecosystem of IoT devices. The security problems aris... ver más

31/07/2021

CENTER FORSECURITY...

3M€

Presupuesto del proyecto: 3M€

Líder del proyecto

KENTRO MELETON ASFALEIAS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 12 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2021-07-31

DS-07-2017: Cybersecurity PPP: Addressing Advan... Specific Challenge:Over the past decade, we have seen that cyber attacks have become increasingly so...

I+D

Cerrada hace 7 años

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

12 Participantes

CENTER FORSECURITY STUDIES C...

434.66K€ | Lider

AREEBA

14.89K€ | Participante

HELLENIC TELECOMMUNICATIONS...

128.11K€ | Participante

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Duración del proyecto: 39 meses Fecha Inicio: 2018-04-23
Fecha Fin: 2021-07-31

Líder del proyecto

KENTRO MELETON ASFALEIAS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 3M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The CYBER-TRUST project aims to develop an innovative cyber-threat intelligence gathering, detection, and mitigation platform to tackle the grand challenges towards securing the ecosystem of IoT devices. The security problems arising from the flawed design of legacy hardware and embedded devices allows cyber-criminals to easily compromise them and launch large-scale attacks toward critical cyber-infrastructures. The proposed interdisciplinary approach will capture different phases of such emerging attacks, before and after known (even years old) or unknown (zero-day) vulnerabilities have been widely exploited by cyber-criminals to launch the attack. Emphasis is given on building a proactive cyber-threat intelligence gathering and sharing system to prevent the exploitation of zero-day vulnerabilities. This intelligence information will be used to maintain accurate vulnerability profiles of IoT devices, in accordance with data protection, privacy, or other regulations, and optimally alter their attack surface to minimise the damage from cyber-attacks. Novel technologies will be developed, based on distributed ledgers and blockchains, to monitor devices’ integrity state and network behaviour that will considerably increase the detection and response capabilities against targeted and interdisciplinary cyber-attacks. In the case of alleged malicious activity, tools for collecting and storing forensic evidence on a tamper-proof blockchain structure will be delivered, taking into account the specific needs of law enforcement agencies. Privacy-preserving network monitoring and advanced virtual reality-based visualisation techniques will be employed for quickly detecting botnets, DDoS attacks and other incidents. Relying on interdisciplinary research, an intelligent autonomous cyber-defence framework will be built for providing intelligent ways of isolating the devices under an attacker’s control (or infected) and effectively responding to and mitigating large-scale attacks.

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