CyberTrust – Page 4 – Advanced Cyber-Threat Intelligence, Detection, and Mitigation Platform for a Trusted Internet of Things

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1st International Workshop on Cyber-Security Threats, Trust and Privacy Management in Software-defined and Virtualized Infrastructures. The main purpose of the SecSoft workshop is to integrate the “Security, Safety, Trust and Privacy support in virtualized environments” conference topic.

Coorganising SecSoft2019 as part of the IEEE NetSoft Paris France – CALL FOR PAPER SUBMISSIONS

Develop an innovative cyber-threat intelligence gathering, detection, and mitigation

innovative cyber-threat platform

Our Test Cases

CyberTrust will be carrying our two main pilots

Internet Service Providers (ISPs) offer advanced M2M solutions to commercial customers and plans on expanding to IoT services for smart metering, smart homes and smart buildings, as a great shift towards these IoT markets is expected in Cyprus in the near future. In the first validation period, running for four months, the platform will be validated by an ISP provider.

The ISP provider will test the platform on the use case categories: (a) zero-day vulnerability discovery, (b) monitoring and vulnerability assessment, (c) network-level attacks, and (d) device-level attacks.

Communications Provider

Primary Pilot

The Hellenic Cyber-Crime Division with its HQs established in Athens, since 2004, when the unit was upgraded to a full department of the Hellenic Police, it has resolved over 6,000 cases of fraud, extortion and child abuse, while several resolved cases were only partially committed in Greece.

KEMEA and the Hellenic Cyber-Crime Division, using the data produced by the first pilot, will test the platform regarding its capabilities w.r.t. (e) forensic evidence collection.

Hellenic Police

Secondary Pilot

What are the platform aspects...

Zero-day vulnerabilities, threat sharing, network monitoring, blockchain, forensic evidence, device tampering, DDoS attacks, detection and mitigation, reputation systems, data protection and privacy.

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Statistical & Signature based detection

Real time DDOS and RoQ attack detection Deep packet inspection Protocol analysis Anomaly detection

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IoT Device Tampering Detection & Remediation

Autonomous health monitoring of IoT devices Tampering attempts Abnormal payload and traffic

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Cyber-threat Intelligence Gathering & Sharing System

Novel approach: Deep and machine learning techniques Game-theoretic framework to provide recommendations for IoT service providers based on the information regarding vulnerabilities Game-theory and machine learning to create patterns and predict the evolution of malwares and botnets Intelligence gathering from: Clearnet Deep and dark web Intelligence sharing to: Organisations SOC teams Security experts LEAs CERTs

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Cyber-Trust Blockchain

Provide trusted transaction processing and coordination between IoT devices Ensure security: Identity Data Communication Safeguarding critical files and software binaries Minimize the damage caused by tampered devices and malware as well as single points of failure Collection and storing of forensic evidence

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IoT device Profiling

Develop a privacy-preserving IoT device (vulnerability) profiling framework, so that any communications with high risk devices are subject to more thorough analysis.

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Self-adaptive Virtual 3D environment

The flat representation (on the screen) may provide synthetic information about the status of the IoT network that can be used for the monitoring phase. It will use BODY OCULUS (or similar viewers) and body movement(e.g. hand gestures) to navigate and inspect the network. Through the VR mode it will be possible to cover more network area per analyst and see more in less time; it will also allow to see panels of related information surrounding the operator in a…

Technical presentation in the context of an Erasmus+ visit titled ”Democratising social interactions: the case of distributed social networks”.

May 25, 2018

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Post Formats

Our partners from UOP participated in 25th of May 2018 at the technical presentation in the context of an Erasmus+ visit titled ”Democratising social interactions: the case of distributed social networks”. The presentation took place at Tomas Bata University in Zlin, Czech Republic and targeted postgraduate (MSc and PhD) students and faculty members, and is directly related with the work carried out in work-package WP5. The presentation involved an overview of technical issues and related solutions pertaining a wide range…

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 786698. The content of this website does not represent the opinion of the European Union, and the European Union is not responsible for any use that might be made of such content. Therefore, any communication activity related to the action reflects only the author’s view and the European Commission is not responsible for any use that may be made of the information it contains.

Data Protection Policy

The information provided on this website has been prepared exclusively for the purpose of providing information about the Cyber-Trust project and related activities. The Cyber-Trust consortium has tried to ensure that all information provided in this website is correct at the time it was included. By accessing this website, you agree that the Cyber-Trust consortium will not be liable for any direct or indirect damage or any consequential loss arising from the use of the information contained in this website or from your access to any other information on the internet via hyperlinks. The copyright in the material contained in this website belongs to the Cyber-Trust consortium. The Cyber-Trust consortium disclaims any liability that may be claimed for infringement or alleged infringement of patents.