A decision and game theoretic approach to networked system security with applications to power grid (invited lecture) There has been a growing interest in decision and game theoretic approaches to networked system security as evidenced by the increasing number of publications and conferences such as the Conference on Decision and Game Theory for Security (GameSec). This presentation aims to give an overview on security games and their applications to network and critical infrastructure security based on the recent book Network Security: A Decision and Game Theoretic Approach. The decision theoretic approach encompasses optimisation, control, and game theory to address resource allocation problems in security contexts. Security games model the interaction between malicious attackers and networked defence systems within a quantitative framework for both analysis and design. Communication constraints, learning schemes, and information limitations play significant roles in this problem domain. The concepts presented will be illustrated with applications of security games to electrical power grid as an example critical infrastructure. Proceedings of the Eleventh Australasian Information Security Conference (AISC 2013), Adelaide, Australia

On the Application of Game theory for Multiagent systembased Cognitive Performance Management in Softwaredefined networks Nowadays, cognitive multiagent selforganization is the subject of intensive research in the field of infocommunication technology. This stateoftheart in constructing distributed intelligent systems for telecommunication management is already receiving attention both from researchers and from industrial application developers. The purposes of this work are to present the implementation of a game theorybased cognitive model for network performance management, to analyze the possibilities of using this model in dynamic orchestration and resource allocation use cases in softwaredefined networks. Thus, special attention has been devoted to the developed multiagent management system architecture, the stages of which form various gametheoretic models with the participation of intelligent software agents, designed to organize automated coordination of requests from the application layer to the corresponding network resources.