The SPEAR (Secure and PrivatE smArt gRid) project is a research program, funded by the Horizon 2020 framework programme of the European Union and it aims at developing an integrated platform of methods, processes, and tools for:
Timely detecting evolved security attacks using big data analytics, advanced visual-aided anomaly detection tools, and smart node trust management schemes;
Developing an advanced forensic readiness framework for collecting attack traces and preparing the necessary legal evidence in court, while preserving user private information;
Implementing an anonymous smart grid channel for mitigating the lack of trust in exchanging sensitive information about cyberattack incidents;
Performing risk analysis and awareness through cyber hygiene frameworks, while empowering EU-wide consensus, by collaborating with European and global security organizations, standardization bodies, industrial groups and smart grid operators;
Exploiting the research outcomes to more critical infrastructure domains, while creating competitive business models for utilizing the implemented security tools in smart grid operators and actors across Europe.
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Development of machine learning detectors, utilising several anomaly detection algorithms for detecting abnormal operational data.
Development of several dimensionality reduction algorithms for visual analytics purposes.<
Contribution in the design and development of V-IDS: visual-aided intrusion detection system.