CyberSecDome

An innovative Virtual Reality based intrusion detection, incident investigation and response approach for enhancing the resilience, security, privacy and accountability of complex and heterogeneous digital systems and infrastructures

Organisations across the sectors significantly benefit from digital transformation to support evolving business models, services and customer experience. Despite the benefits of digital infrastructure adoption, there are numerous security challenges that could pose any digital disruption and risks for the critical service delivery and overall business continuity. There is a need to understand the overall digital infrastructure context and analyse and predict the possible threats and incidents in real-time so that quick and accurate responses can be taken into consideration for ensuring resilience of service delivery. Additionally, collaborative response and sharing of threat intelligence information is necessary to create overall awareness and increase the response capability of all stakeholders within the ecosystem. CyberSecDome will integrate advanced virtuality reality (VR) to extend the capability of the security solutions aiming to enhance security, privacy and resilience of the Digital Infrastructure. The project will consider AI-enabled security solutions to provide a better prediction of cybersecurity threats and related risks towards an efficient and dynamic incident management and optimise collaborative response among the stakeholders within the Digital Infrastructure ecosystem. CyberSecDome project is built on a collaboration of 15 organisations from 6 EU member states (IT, DE, IE, SE, EL, CY) and 2 affiliated countries (UK, CH), which is composed by 5 industrial partners, 6 scientific partners and 5 SMEs. The project will be coordinate by MAGGIOLI SPA.

Project domains

User & Experience Dimensions
Co-creation and community engagement
Collaborative platforms
Sectors
Cybersecurity
Manufacturing
Data Processing and IPR
Personal data
Interaction & Enabling Technologies
Virtual Reality

Publications

Title Type of output
Sensors Peer reviewed articles
PTPsec: Securing the Precision Time Protocol Against Time Delay Attacks Using Cyclic Path Asymmetry Analysis Conference proceedings
Enhancing Malware Detection through Machine Learning using XAI with SHAP Framework Conference proceedings
Security Challenges in Autonomous Systems Design Conference proceedings
Synthetic Data Generation and Impact Analysis of Machine Learning Models for Enhanced Credit Card Fraud Detection Conference proceedings
Securing Real-Time Systems using Schedule Reconfiguration Conference proceedings
Similarity-Based Selective Federated Learning for Distributed Device-Specific Anomaly Detection Conference proceedings
Shells Bells: Cyber-Physical Anomaly Detection in Data Centers Conference proceedings
Creating a Security Enforcement Environment for a Vehicular Platform Conference proceedings
Advanced IDPS Architecture for Connected and Autonomous Vehicles Conference proceedings
REACT: Autonomous intrusion response system for intelligent vehicles Other
Cyber Threat Assessment and Management for Securing Healthcare Ecosystems using Natural Language Processing Peer reviewed articles
Federated Learning-Based Personalized Recommendation Systems: An Overview on Security and Privacy Challenges Peer reviewed articles
Digital Twins-enabled Zero Touch Network: A smart contract and explainable AI integrated cybersecurity framework Peer reviewed articles
Generative AI and Cognitive Computing-Driven Intrusion Detection System in Industrial CPS Peer reviewed articles
Vulnerability detection using BERT based LLM model with transparency obligation practice towards trustworthy AI Peer reviewed articles

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