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Smart grids are complex cyber-physical systems that face many security challenges. Advanced Metering Infrastructure (AMI), which is one of the main components of the smart grid, represents an important branch of services with increasing deployments that also introduce new security risks. The nodes of AMIs are featured as resource-constrained. Therefore, security attacks including data integrity attacks on AMIs are of serious concern and require efficient selection of protective strategies. In this paper, we propose an evolutionary game framework that models integrity attacks and defenses in an AMI. The aim of this framework is to study possible behaviors of adversaries and to define how the AMI nodes can adaptively select their strategies with maximum payoffs of the nodes. We present a case study and illustrate how the framework can be applied to investigate the integrity threats in AMI systems. We show the evolution process, based on the replicator dynamic. CCS CONCEPTS• Security and privacy → Network security; Mobile and wireless security;

Abstract

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Coexistence of various wireless access networks and the ability of mobile terminals to switch between them make an optimal selection of serving networks for multicast groups a challenging problem. Since optimal network selection requires large dimensions of data to be collected from several network locations and sent between several network components, the scalability can easily become a bottleneck in largescale systems. Therefore, reducing data exchange within heterogeneous wireless networks is important. We study the decision-making process and the data that needs to be sent between different network components. We present two decentralized solutions to this problem that operate with reduced sets of information. We define the upper and lower bounds to these solutions and evaluate them in the OMNet++ simulation environment. Both solutions provide a substantial improvement in performance compared to the lower bound.