The transition to generation-led approach in Smart Grids assigns new roles to networked Demand-oriented Real-time Smart Meters that operate in decentralized system. In new operational scenario, to achieve network-wide interoperability, smart meters are exposed to cyber threats. One of the mostly known risks is so-called Cyber Kill Chain. This research article discusses about a work performed in the context of SUCCESS (Energy) Horizon-2020 project on early detection of stages of the Cyber Kill Chain in Advanced Metering Infrastructures of modern Smart Grids. The authors discuss about patterns allowing early detection of Reconnaissance activities and the use of Artificial Intelligence pattern matching methods.
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