ResilMesh: Situation Aware enabled Cyber Resilience for Dispersed, Heterogenous Cyber Systems

Civil SecurityHORIZON-IAID: 101119681
EC Contribution
€57,042
Consortium Size
16 orgs
Start Year
2023
Summary

ResilMesh will develop a cyber situational awareness based Security Orchestration and Analytics Platform Architecture (SOAPA) toolset to improve digital infrastructure resilience through fulfilling these objectives: 1: Improving end-to-end data aggregation and security control interoperability in dispersed digital infrastructures2: Giving CSIRTs better awareness of the service and asset dependencies of their network3: Helping CSIRTs to build cyber resilience capacity 4:Developing AI based algorithms and tools for early and ongoing attack detection and prediction 5:Developing a situation assessment system to view and forecast network level riskThese objectives are achieved through a 10 work package project plan. ResilMesh will build a SOAPA platform by combining existing security controls and other tools from consortium participant with readily available open source elements. It will develop algorithms and software tools in the project and will integrate these with the platform to form a complete SOAPA system. It will validate the operation of the ResilMesh system through use cases in three different infrastructure categories (i.e. renewable energy SCADA; smart manufacturing robotics and regional civil infrastructure) and five open call use cases. These 8 pilots will ensure that the platform is evaluated across a wide range of critical infrastructures. ReilMesh develops AI based algorithms to improve attack detection and prediction for endpoint and network traffic; it help CSIRTs deal digital infrastructure complexity and heterogeneity by providing tools to give them better awareness of environment dependencies, threats and risk while preserving privacy. It increases the reliability and granularity of shared threat intelligence to improve context for threat hunting and cyber forensics incident response leading to more robust decision making. Finally it provides a suite of best practices to build cyber capacity to improve resilience preparation.

Consortium (16)

Project Results (19)

Source: CORDIS, the EU research results database.

Publications (8)
Edge-Based Anomaly Detection: Enhancing Performance and Sustainability of Cyber-Attack Detection in Smart Water Distribution Systems
2024 32nd Telecommunications Forum (TELFOR)· 2025DOI
Michael Somma, Andreas Flatscher, Branka Stojanović
Hierarchical Modeling of Cyber Assets in Kill Chain Attack Graphs
2024 20th International Conference on Network and Service Management (CNSM)· 2025DOI
Lukáš Sadlek, Martin Husák, Pavel Čeleda
An Information-Theoretic Approach for Anomaly Detection in RPL-Based Internet of Things
IFIP Advances in Information and Communication Technology, Internet of Things· 2024DOI
Vinh Hoa La, Edgardo Montes de Oca, Ana Cavalli
Applications of post-quantum cryptography
Proceedings of the 23rd European Conference on Cyber Warfare and Security (ECCWS 2024)· 2024DOI
Emils Bagirovs, Grigory Provodin, Tuomo Sipola, Jari Hautamäki
Cyber protection applications of quantum computing: A review
Proceedings of the 23rd European Conference on Cyber Warfare and Security (ECCWS 2024)· 2024DOI
Ummar Ahmed, Tuomo Sipola, Jari Hautamäki
Explaining Probabilistic Bayesian Neural Networks for Cybersecurity Intrusion Detection
IEEE Access· 2024DOI
Tengfei Yang, Yuansong Qiao, Brian Lee
Exploring the influence of the choice of prior of the Variational Auto-Encoder on cybersecurity anomaly detection
Proceedings of the 19th International Conference on Availability, Reliability and Security· 2024DOI
Tengfei Yang, Yuansong Qiao, Brian Lee
Machine learning applications of quantum computing: A review
Proceedings of the 23rd European Conference on Cyber Warfare and Security (ECCWS 2024)· 2024DOI
Thien Nguyen, Tuomo Sipola, Jari Hautamäki
Deliverables (10)
Other Results (1)
Periodic Reporting for period 1 - ResilMesh (ResilMesh: Situation Aware enabled Cyber Resilience for Dispersed, Heterogenous Cyber Systems)