CYBER-TRUST SIGNED
Advanced Cyber-Threat Intelligence, Detection, and Mitigation Platform for a Trusted Internet of Things
Total Cost €
0EC-Contrib. €
0Partnership
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0CYBER-TRUST project word cloud
Explore the words cloud of the CYBER-TRUST project. It provides you a very rough idea of what is the project "CYBER-TRUST" about.
Project "CYBER-TRUST" data sheet
The following table provides information about the project.
| Coordinator |
KENTRO MELETON ASFALEIAS
Organization address contact info |
| Coordinator Country | Greece [EL] |
| Project website | https://www.cyber-trust.eu/ |
| Total cost | 2˙996˙182 € |
| EC max contribution | 2˙996˙182 € (100%) |
| Programme |
1. H2020-EU.3.7.4. (Improve cyber security) |
| Code Call | H2020-DS-SC7-2017 |
| Funding Scheme | RIA |
| Starting year | 2018 |
| Duration (year-month-day) | from 2018-05-01 to 2021-04-30 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | KENTRO MELETON ASFALEIAS | EL (ATHINA) | coordinator | 434˙662.00 |
| 2 | UNIVERSITY OF PELOPONNESE | EL (TRIPOLIS) | participant | 413˙750.00 |
| 3 | UNIVERSITY OF PLYMOUTH | UK (PLYMOUTH) | participant | 398˙395.00 |
| 4 | CGI NEDERLAND BV | NL (ROTTERDAM) | participant | 365˙687.00 |
| 5 | MATHEMA SRL | IT (FIRENZE) | participant | 341˙312.00 |
| 6 | ADITESS ADVANCED INTEGRATED TECHNOLOGY SOLUTIONS & SERVICES LTD | CY (LEFKOSIA) | participant | 340˙625.00 |
| 7 | SCORECHAIN SA | LU (ESCH SUR ALZETTE) | participant | 324˙375.00 |
| 8 | VRIJE UNIVERSITEIT BRUSSEL | BE (BRUSSEL) | participant | 234˙375.00 |
| 9 | HELLENIC TELECOMMUNICATIONS ORGANIZATION S.A. - OTE AE (ORGANISMOS TILEPIKOINONION TIS ELLADOS OTE AE) | EL (Maroussi - Athens) | participant | 128˙112.00 |
| 10 | MTN CYPRUS LIMITED | CY (LEFKOSIA) | participant | 14˙887.00 |
Map
Project 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.
Deliverables
| CYBER-TRUST end-user requirements | Documents, reports | 2020-04-24 06:26:55 |
| Legal analysis of the use of evidence material | Documents, reports | 2020-04-24 06:26:54 |
| Architecture and design specifications: initial | Documents, reports | 2020-04-24 06:26:54 |
| CYBER-TRUST use case scenarios | Documents, reports | 2020-04-24 06:26:54 |
| Threat actors’ attack strategies | Documents, reports | 2020-04-24 06:26:54 |
| Threat sharing methods: comparative analysis | Documents, reports | 2020-04-24 06:26:54 |
Take a look to the deliverables list in detail: detailed list of CYBER-TRUST deliverables.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2019 |
5. Gkotsopoulou, O., Charalambous, E., Limniotis, K., Quinn, P., Kavallieros, D., Sargsyan, G., Shiaeles, S., Kolokotronis, N. Data Protection by Design for Cybersecurity Systems in a Smart Home Environment published pages: , ISSN: , DOI: |
1st International Workshop on Cyber-Security Threats, Trust and Privacy Management in Software-defined and Virtualized Infrastructures (SecSoft) | 2020-04-24 |
| 2019 |
Brotsis, S., Kolokotronis, N., Limniotis, K., Shiaeles, S., Kavallieros, D., Bellini, E., Pavue, C. Blockchain Solutions for Forensic Evidence Preservation in IoT Environments published pages: , ISSN: , DOI: |
1st International Workshop on Cyber-Security Threats, Trust and Privacy Management in Software-defined and Virtualized Infrastructures (SecSoft) | 2020-04-24 |
| 2019 |
Nicholas Kolokotronis, Konstantinos Limniotis, Stavros Shiaeles, Romain Griffiths Secured by Blockchain: Safeguarding Internet of Things Devices published pages: 28-34, ISSN: 2162-2256, DOI: 10.1109/mce.2019.2892221 |
IEEE Consumer Electronics Magazine 8/3 | 2020-04-24 |
| 2019 |
Costas Vassilakis Blockchain technologies for leveraging security and privacy published pages: 7, ISSN: 2585-3899, DOI: 10.12681/homvir.20188 |
Homo Virtualis 2/1 | 2020-04-24 |
| 2019 |
Baptista, I., Shiaeles, S., Kolokotronis, N. A Novel Malware Detection System Based On Machine Learning and Binary Visualization published pages: , ISSN: , DOI: |
In * 2019 1st International Workshop on Data Driven Intelligence for Networks and Systems (DDINS) | 2020-04-24 |
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