1,325 research outputs found

    Multi-Layer Cyber-Physical Security and Resilience for Smart Grid

    Full text link
    The smart grid is a large-scale complex system that integrates communication technologies with the physical layer operation of the energy systems. Security and resilience mechanisms by design are important to provide guarantee operations for the system. This chapter provides a layered perspective of the smart grid security and discusses game and decision theory as a tool to model the interactions among system components and the interaction between attackers and the system. We discuss game-theoretic applications and challenges in the design of cross-layer robust and resilient controller, secure network routing protocol at the data communication and networking layers, and the challenges of the information security at the management layer of the grid. The chapter will discuss the future directions of using game-theoretic tools in addressing multi-layer security issues in the smart grid.Comment: 16 page

    Application of Game Theory to Improve the Defense of the Smart Grid

    Get PDF
    This thesis presents the development and evaluation of a distributed agent based system using reputation based trust and game theoretic techniques to improve the defense of the future smart grid from cyber-attack and equipment malfunctions. Future smart grid capabilities promise to leverage network technologies to revolutionize the production, transmission, distribution and consumption of electrical power. However, the internet like communication also increase the power grid\u27s vulnerability to cyber-attack. This thesis uses simulation linking power systems with communication networks to demonstrate the benefits of a Distributed Decision Making Communication Enable Special Protection System (SPS) using reputation based trust and game theory to protect the power grid from malicious and non-malicious malfunctions. The simulations show that a distributed approach to SPS load shedding successfully maintains power grid stability after an electrical disturbance while using reputation based trust to defend the load shedding from cyber-attack and equipment malfunction. Additional simulations demonstrate the application of game theory to defend the SPS load shedding process when available resources prevent the monitoring and defense of every part of the power grid. The demonstrated capability increases the resiliency of the power grid by preventing uncontrolled blackouts through detection and mitigation of attacks, improving the system\u27s reliability

    Game-Theoretic and Machine-Learning Techniques for Cyber-Physical Security and Resilience in Smart Grid

    Get PDF
    The smart grid is the next-generation electrical infrastructure utilizing Information and Communication Technologies (ICTs), whose architecture is evolving from a utility-centric structure to a distributed Cyber-Physical System (CPS) integrated with a large-scale of renewable energy resources. However, meeting reliability objectives in the smart grid becomes increasingly challenging owing to the high penetration of renewable resources and changing weather conditions. Moreover, the cyber-physical attack targeted at the smart grid has become a major threat because millions of electronic devices interconnected via communication networks expose unprecedented vulnerabilities, thereby increasing the potential attack surface. This dissertation is aimed at developing novel game-theoretic and machine-learning techniques for addressing the reliability and security issues residing at multiple layers of the smart grid, including power distribution system reliability forecasting, risk assessment of cyber-physical attacks targeted at the grid, and cyber attack detection in the Advanced Metering Infrastructure (AMI) and renewable resources. This dissertation first comprehensively investigates the combined effect of various weather parameters on the reliability performance of the smart grid, and proposes a multilayer perceptron (MLP)-based framework to forecast the daily number of power interruptions in the distribution system using time series of common weather data. Regarding evaluating the risk of cyber-physical attacks faced by the smart grid, a stochastic budget allocation game is proposed to analyze the strategic interactions between a malicious attacker and the grid defender. A reinforcement learning algorithm is developed to enable the two players to reach a game equilibrium, where the optimal budget allocation strategies of the two players, in terms of attacking/protecting the critical elements of the grid, can be obtained. In addition, the risk of the cyber-physical attack can be derived based on the successful attack probability to various grid elements. Furthermore, this dissertation develops a multimodal data-driven framework for the cyber attack detection in the power distribution system integrated with renewable resources. This approach introduces the spare feature learning into an ensemble classifier for improving the detection efficiency, and implements the spatiotemporal correlation analysis for differentiating the attacked renewable energy measurements from fault scenarios. Numerical results based on the IEEE 34-bus system show that the proposed framework achieves the most accurate detection of cyber attacks reported in the literature. To address the electricity theft in the AMI, a Distributed Intelligent Framework for Electricity Theft Detection (DIFETD) is proposed, which is equipped with Benford’s analysis for initial diagnostics on large smart meter data. A Stackelberg game between utility and multiple electricity thieves is then formulated to model the electricity theft actions. Finally, a Likelihood Ratio Test (LRT) is utilized to detect potentially fraudulent meters

    Cyber-physical Systems (CPS) Security: State of the Art and Research Opportunities for Information Systems Academics

    Get PDF
    Attacks on cyber-physical systems (CPS) continue to grow in frequency. However, cybersecurity academics and practitioners have so far focused primarily on computer systems and networks rather than CPS. Given the alarming frequency with which cybercriminals attack CPS and the unique cyber-physical relationship in CPS, we propose that CPS security needs go beyond what purely computer and network security requires. Thus, we require more focused research on cybersecurity based on the cyber-physical relationship between various CPS components. In this paper, we stock of the current state of CPS security and identify research opportunities for information systems (IS) academics
    • …
    corecore