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THREAT-ARREST Cyber Security Threats and Threat Actors Training - Assurance Driven Multi-Layer, end-to-end Simulation and Training (THREAT-ARREST)

Project
The challenge of mitigating advanced cyber attacks through advanced security training has been evident during the last decade in numerous fields and industries in EU. Despite the wide spectrum of such tools appears to provide a comprehensive machinery for detecting and responding effectively to cyber attacks, it is difficult to establish effective tool usage strategies and processes for addressing the ever-expanding land-scape of these attacks. Moreover, the advent of more “intelligent” cybersecurity solutions, which make use of technologies like machine learning, statistical analysis and user behaviour analysis, requires sophisticated and hands-on training of the key personnel of organizations, who have responsibility for security, for the latter to be able to master them. In response to the above, THREAT-ARREST will develop an advanced training platform incorporating emulation, simulation, serious gaming and visualization capabilities to adequately prepare stakeholders with different types of responsibility and levels of expertise in defending high-risk cyber systems and organizations to counter advanced, known and new cyber attacks. The THREAT-ARREST platform will deliver security training, based on a model driven approach where cyber threat and training preparation models, specifying the potential attacks, the security controls of cyber systems against them, and the tools that may be used to assess the effectiveness of these controls, will drive the training process, and align it with operational cyber system security assurance mechanisms to ensure the relevance of training. The platform will also support trainee performance evaluation and training program evaluation and adapt training programs based on them. The effectiveness of the framework will be validated using a prototype implementation at TRL-7 interconnected with real cyber systems pilots in the area of smart energy, healthcare and shipping, and from technical, legal
and business perspectives.
  • Overview
  • Publications

Overview

Contributors

DAMIANI ERNESTO   Scientific Manager  

Departments involved

Dipartimento di Informatica Giovanni Degli Antoni   Principale  

Type

H20_RIA - Horizon 2020_Research & Innovation Action/Innovation Action

Funder

EUROPEAN COMMISSION
External Organization Funding Organization

Date/time interval

September 1, 2018 - August 31, 2021

Project duration

36 months

Publications

Outputs (7)

A cryptographic cloud-based approach for the mitigation of the airline cargo cancellation problem 
JOURNAL OF INFORMATION SECURITY AND APPLICATIONS
ELSEVIER
2020
Academic Article
Partially Open Access
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Modern Aspects of Cyber-Security Training and Continuous Adaptation of Programmes to Trainees 
APPLIED SCIENCES
MDPI
2020
Academic Article
Open Access
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An enhanced electrocardiogram biometric authentication system using machine learning 
IEEE ACCESS
INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS
2019
Academic Article
Open Access
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Learning Vector Quantization and Radial Basis Function Performance Comparison Based Intrusion Detection System 
ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING
SPRINGER
2021
Conference Paper
Reserved Access
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STRIDE-AI: An Approach to Identifying Vulnerabilities of Machine Learning Assets 
IEEE
2021
Conference Paper
Partially Open Access
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The THREAT-ARREST Cyber Range Platform 
IEEE
2021
Conference Paper
Reserved Access
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Towards the Monitoring and Evaluation of Trainees’ Activities in Cyber Ranges 
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
SPRINGER
2020
Conference Paper
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