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Advanced Cyber-Threat Intelligence, Detection, and Mitigation Platform for a Trusted Internet of Things

Project description

DEENESFRITPL

Securing the IoT ecosystem to mitigate large-scale attacks

In the realm of Internet of Things (IoT), the flawed design of legacy hardware and embedded devices has created a pressing security problem. It is a vulnerability that allows cyber-criminals to easily compromise these devices, resulting in large-scale attacks on critical cyber-infrastructures. In this context, the EU-funded CYBER-TRUST project is spearheading an innovative platform. By capturing emerging attacks, including zero-day vulnerabilities, the project aims to proactively gather and share cyber-threat intelligence. Leveraging distributed ledgers and blockchains, it will enhance detection and response capabilities against targeted and interdisciplinary cyber-attacks. Additionally, the project focuses on maintaining accurate vulnerability profiles of IoT devices, complying with regulations, and minimising the damage caused by cyber-attacks.

Objective

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.

Fields of science

Programme(s)

Topic(s)

Call for proposal

H2020-DS-2016-2017

See other projects for this call

Sub call

H2020-DS-SC7-2017

Funding Scheme

RIA - Research and Innovation action

Coordinator

KENTRO MELETON ASFALEIAS
Net EU contribution
€ 434 662,51
Address
P KANELLOPOULOU 4 ST
10177 Athina
Greece

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Αττική Aττική Κεντρικός Τομέας Αθηνών
Activity type
Research Organisations
Links
Total cost
€ 434 662,51

Participants (11)

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Last update: 26 May 2022

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Permalink: https://cordis.europa.eu/project/id/786698

European Union, 2024