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Smart grid has recently been introduced to provide a smarter power grid with enhanced efficiency and reliability of new energy management via adding sensors and intelligent devices. Using bidirectional communication flow of electricity and information, smart grid builds a fully automated and highly distributed energy delivery network. The advanced metering infrastructure (AMI) is an essential system in the smart grid responsible for measuring, collecting, analyzing usage and metering devices communication either on request or on a schedule. In order to ensure the security and reliability of a modernized electric grid, it is critical to develop an effective attack prevention techniques and intrusion detection systems to protect advanced metering infrastructure. In this paper, we proposed a hybrid-based detection intrusion detection framework combining specification-based and signature-based technologies to handle both known and unknown attacks. Our proposed hybrid IDS framework is also feasible for deploying on resource-limited devices, such as concentrators or smart meters, in AMI.
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