Securing advanced metering infrastructure using intrusion detection system with data stream mining
PAISI'12 Proceedings of the 2012 Pacific Asia conference on Intelligence and Security Informatics
Proceedings of the Eighth Annual Cyber Security and Information Intelligence Research Workshop
Configuration-based IDS for advanced metering infrastructure
Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security
Detecting intrusions in encrypted control traffic
Proceedings of the first ACM workshop on Smart energy grid security
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It is critical to develop an effective way to monitor advanced metering infrastructures (AMI). To ensure the security and reliability of a modernized power grid, the current deployment of millions of smart meters requires the development of innovative situational awareness solutions to prevent compromised devices from impacting the stability of the grid and the reliability of the energy distribution infrastructure. To address this issue, we introduce a specification-based intrusion detection sensor that can be deployed in the field to identify security threats in real time. This sensor monitors the traffic among meters and access points at the network, transport, and application layers to ensure that devices are running in a secure state and their operations respect a specified security policy. It does this by implementing a set of constraints on transmissions made using the C12.22 standard protocol that ensure that all violations of the specified security policy will be detected. The soundness of these constraints was verified using a formal framework, and a prototype implementation of the sensor was evaluated with realistic AMI network traffic.