The Experts below are selected from a list of 246 Experts worldwide ranked by ideXlab platform

Marimuthu Palaniswami - One of the best experts on this subject based on the ideXlab platform.

  • Security Games for Risk Minimization in Automatic Generation Control
    IEEE Transactions on Power Systems, 2015
    Co-Authors: Tansu Alpcan, Marimuthu Palaniswami
    Abstract:

    The power Grid is a critical infrastructure that must be protected against potential threats. While modern technologies at the center of the ongoing Smart Grid evolution increase its operational efficiency, they also make it more susceptible to malicious attacks such as false data injection to electronic monitoring systems. This paper presents a game-theoretic approach to Smart Grid Security by combining quantitative risk management techniques with decision making on protective measures. The consequences of data injection attacks are quantified using a risk assessment process where the well-known conditional value-at-risk (CVaR) measure provides an estimate of the defender's loss due to load shed in simulated scenarios. The calculated risks are then incorporated into a stochastic Security game model as input parameters. The decisions on defensive measures are obtained by solving the game using dynamic programming techniques which take into account resource constraints. Thus, the formulated Security game provides an analytical framework for choosing the best response strategies against attackers and minimizing potential risks. The theoretical results obtained are demonstrated through numerical examples. Simulation results show that different risk measures lead to different defense strategies, but the CVaR measure prioritizes high-loss tail events.

  • Security games and risk minimization for automatic generation control in Smart Grid
    Decision and Game Theory for Security, 2012
    Co-Authors: Yee Wei Law, Tansu Alpcan, Marimuthu Palaniswami, Subhrakanti Dey
    Abstract:

    The power Grid, on which most economic activities rely, is a critical infrastructure that must be protected against potential threats. Advanced monitoring technologies at the center of Smart Grid evolution increase its efficiency but also make it more susceptible to malicious attacks such as false data injection. This paper develops a game-theoretic approach to Smart Grid Security by combining quantitative risk management with decision making on protective measures. Specifically, the consequences of data injection attacks are quantified using a risk assessment process based on simulations. Then, the quantified risks are used as an input to a stochastic game model, where the decisions on defensive measures are made taking into account resource constraints. Security games provide the framework for choosing the best response strategies against attackers in order to minimize potential risks. The theoretical results obtained are demonstrated using numerical examples.

  • Security games for voltage control in Smart Grid
    Allerton Conference on Communication Control and Computing, 2012
    Co-Authors: Yee Wei Law, Tansu Alpcan, Marimuthu Palaniswami
    Abstract:

    Information and communication technologies bring significant improvements to power Grid and help building a “Smart Grid”. At the same time, they cause novel vulnerabilities making the power Grid, which is a critical infrastructure, susceptible to malicious cyber attacks such as false data injection. This paper develops a game-theoretic approach to Smart Grid Security by combining quantitative risk concepts with decision making on protective measures. Specifically, the interaction between malicious attackers and Grid defense systems is modeled as a Security game, where the attackers choose the intensity of false data injection and defenders determine the detection threshold level. The consequences of data injection attacks are quantified using a risk assessment process based on realistic system simulations. The simulation results are used as an input to a stochastic game model, where the decisions on defensive measures are made taking into account resource constraints represented by cost values. Thus, Security games provide a framework for choosing the best response strategies against attackers in order to minimize potential risks. The framework developed is also useful to analyse different types of attacks and defensive measures. The theoretical results obtained are demonstrated using numerical examples.

  • Security games and risk minimization for automatic generation control in Smart Grid
    Lecture Notes in Computer Science, 2012
    Co-Authors: Yee Wei Law, Tansu Alpcan, Marimuthu Palaniswami, Subhrakanti Dey
    Abstract:

    The power Grid, on which most economic activities rely, is a critical infrastructure that must be protected against potential threats. Advanced monitoring technologies at the center of Smart Grid evolution increase its efficiency but also make it more susceptible to malicious attacks such as false data injection. This paper develops a game-theoretic approach to Smart Grid Security by combining quantitative risk management with decision making on protective measures. Specifically, the consequences of data injection attacks are quantified using a risk assessment process based on simulations. Then, the quantified risks are used as an input to a stochastic game model, where the decisions on defensive measures are made taking into account resource constraints. Security games provide the framework for choosing the best response strategies against attackers in order to minimize potential risks. The theoretical results obtained are demonstrated using numerical examples. © 2012 Springer-Verlag.

Tansu Alpcan - One of the best experts on this subject based on the ideXlab platform.

  • Security Games for Risk Minimization in Automatic Generation Control
    IEEE Transactions on Power Systems, 2015
    Co-Authors: Tansu Alpcan, Marimuthu Palaniswami
    Abstract:

    The power Grid is a critical infrastructure that must be protected against potential threats. While modern technologies at the center of the ongoing Smart Grid evolution increase its operational efficiency, they also make it more susceptible to malicious attacks such as false data injection to electronic monitoring systems. This paper presents a game-theoretic approach to Smart Grid Security by combining quantitative risk management techniques with decision making on protective measures. The consequences of data injection attacks are quantified using a risk assessment process where the well-known conditional value-at-risk (CVaR) measure provides an estimate of the defender's loss due to load shed in simulated scenarios. The calculated risks are then incorporated into a stochastic Security game model as input parameters. The decisions on defensive measures are obtained by solving the game using dynamic programming techniques which take into account resource constraints. Thus, the formulated Security game provides an analytical framework for choosing the best response strategies against attackers and minimizing potential risks. The theoretical results obtained are demonstrated through numerical examples. Simulation results show that different risk measures lead to different defense strategies, but the CVaR measure prioritizes high-loss tail events.

  • Security games and risk minimization for automatic generation control in Smart Grid
    Decision and Game Theory for Security, 2012
    Co-Authors: Yee Wei Law, Tansu Alpcan, Marimuthu Palaniswami, Subhrakanti Dey
    Abstract:

    The power Grid, on which most economic activities rely, is a critical infrastructure that must be protected against potential threats. Advanced monitoring technologies at the center of Smart Grid evolution increase its efficiency but also make it more susceptible to malicious attacks such as false data injection. This paper develops a game-theoretic approach to Smart Grid Security by combining quantitative risk management with decision making on protective measures. Specifically, the consequences of data injection attacks are quantified using a risk assessment process based on simulations. Then, the quantified risks are used as an input to a stochastic game model, where the decisions on defensive measures are made taking into account resource constraints. Security games provide the framework for choosing the best response strategies against attackers in order to minimize potential risks. The theoretical results obtained are demonstrated using numerical examples.

  • Security games for voltage control in Smart Grid
    Allerton Conference on Communication Control and Computing, 2012
    Co-Authors: Yee Wei Law, Tansu Alpcan, Marimuthu Palaniswami
    Abstract:

    Information and communication technologies bring significant improvements to power Grid and help building a “Smart Grid”. At the same time, they cause novel vulnerabilities making the power Grid, which is a critical infrastructure, susceptible to malicious cyber attacks such as false data injection. This paper develops a game-theoretic approach to Smart Grid Security by combining quantitative risk concepts with decision making on protective measures. Specifically, the interaction between malicious attackers and Grid defense systems is modeled as a Security game, where the attackers choose the intensity of false data injection and defenders determine the detection threshold level. The consequences of data injection attacks are quantified using a risk assessment process based on realistic system simulations. The simulation results are used as an input to a stochastic game model, where the decisions on defensive measures are made taking into account resource constraints represented by cost values. Thus, Security games provide a framework for choosing the best response strategies against attackers in order to minimize potential risks. The framework developed is also useful to analyse different types of attacks and defensive measures. The theoretical results obtained are demonstrated using numerical examples.

  • Security games and risk minimization for automatic generation control in Smart Grid
    Lecture Notes in Computer Science, 2012
    Co-Authors: Yee Wei Law, Tansu Alpcan, Marimuthu Palaniswami, Subhrakanti Dey
    Abstract:

    The power Grid, on which most economic activities rely, is a critical infrastructure that must be protected against potential threats. Advanced monitoring technologies at the center of Smart Grid evolution increase its efficiency but also make it more susceptible to malicious attacks such as false data injection. This paper develops a game-theoretic approach to Smart Grid Security by combining quantitative risk management with decision making on protective measures. Specifically, the consequences of data injection attacks are quantified using a risk assessment process based on simulations. Then, the quantified risks are used as an input to a stochastic game model, where the decisions on defensive measures are made taking into account resource constraints. Security games provide the framework for choosing the best response strategies against attackers in order to minimize potential risks. The theoretical results obtained are demonstrated using numerical examples. © 2012 Springer-Verlag.

Soon Oh - One of the best experts on this subject based on the ideXlab platform.

  • Physical layer Security in wireless Smart Grid
    IEEE Communications Magazine, 2012
    Co-Authors: E. K. Lee, Mario Gerla, S.y. Oh, Soon Oh
    Abstract:

    The Smart Grid is characterized by the two-way flow of electric power and information. For the information flow implementation and support, several wireless communication technologies and standards are being considered. Although there is no doubt that using wireless communications offers significant benefits over wired connections, the wireless technology introduces additional vulnerability in terms of network Security. This work addresses physical layer Security, a topic that has been hardly investigated in the Smart Grid domain. To understand new types of threats, we review fundamentals of wireless communication and examine physical attack models in depth. As a promising solution to physical Security, we describe a random spread-spectrum based wireless communication scheme that can achieve both fast and robust data transmission. We expect that the work presented here will advance the research on wireless Smart Grid Security. TS - RIS

Deepa Kundur - One of the best experts on this subject based on the ideXlab platform.

  • A DER Attack-Mitigation Differential Game for Smart Grid Security Analysis
    IEEE Transactions on Smart Grid, 2016
    Co-Authors: Pirathayini Srikantha, Deepa Kundur
    Abstract:

    Information and communication infrastructure will be extensively deployed to monitor and control electric power delivery components of today's power Grid. While these cyber elements enhance a utility's ability to maintain physical stability, if a subset are compromised by adversaries, disruption may occur. In this paper, a novel framework based on the principles of differential games is proposed that demonstrates stealthy worst-case strategies for attackers to disrupt transient stability by leveraging control over distributed energy resources. We demonstrate that if the electric power utility is able to identify uncompromised components, countermeasures can exist that effectively reduce the impact of attack for a fixed time interval. Based on our results, we develop insights to construct safety margin recommendations for cyber-physical Smart Grid actuation elements that promote system resilience during a cyber attack.

  • On the use of cyber-physical hierarchy for Smart Grid Security and efficient control
    2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2012
    Co-Authors: Jin Wei, Deepa Kundur, Takis Zourntos
    Abstract:

    We study the application of cyber-physical hierarchy on a class of Smart Grid systems to improve scalability. Our framework employs a multi-agent flocking-based approach to study the transient stability problem in emerging power systems. An agent in this context embodies a coherent group of system generators. We demonstrate how our paradigm conveniently facilitates the identification of coherent machine clusters through spectral bisection of the associated Kron-reduced power system graph. This enables a state-dependent system hierarchy whereby inter-agent interactions are cyber-physical (tier-1) and intra-agent synergies are physical (tier-2). By leveraging this layered perspective, active control can be employed only at a select “lead” generator of each agent; secondary generators that are necessarily coherent to a lead generator will naturally follow suit. Thus this cyber-physical hierarchy improves communications and energy overhead by introducing cyber couplings only within components of the Smart Grid where physical relationships are insufficient for transient stability in the face of a incidental fault or intentional attack. We demonstrate the performance of our approach on the 9-bus WECC system demonstrating its lower overhead and greater robustness to cyber attacks resulting in information delay.

Yee Wei Law - One of the best experts on this subject based on the ideXlab platform.

  • Security games and risk minimization for automatic generation control in Smart Grid
    Decision and Game Theory for Security, 2012
    Co-Authors: Yee Wei Law, Tansu Alpcan, Marimuthu Palaniswami, Subhrakanti Dey
    Abstract:

    The power Grid, on which most economic activities rely, is a critical infrastructure that must be protected against potential threats. Advanced monitoring technologies at the center of Smart Grid evolution increase its efficiency but also make it more susceptible to malicious attacks such as false data injection. This paper develops a game-theoretic approach to Smart Grid Security by combining quantitative risk management with decision making on protective measures. Specifically, the consequences of data injection attacks are quantified using a risk assessment process based on simulations. Then, the quantified risks are used as an input to a stochastic game model, where the decisions on defensive measures are made taking into account resource constraints. Security games provide the framework for choosing the best response strategies against attackers in order to minimize potential risks. The theoretical results obtained are demonstrated using numerical examples.

  • Security games for voltage control in Smart Grid
    Allerton Conference on Communication Control and Computing, 2012
    Co-Authors: Yee Wei Law, Tansu Alpcan, Marimuthu Palaniswami
    Abstract:

    Information and communication technologies bring significant improvements to power Grid and help building a “Smart Grid”. At the same time, they cause novel vulnerabilities making the power Grid, which is a critical infrastructure, susceptible to malicious cyber attacks such as false data injection. This paper develops a game-theoretic approach to Smart Grid Security by combining quantitative risk concepts with decision making on protective measures. Specifically, the interaction between malicious attackers and Grid defense systems is modeled as a Security game, where the attackers choose the intensity of false data injection and defenders determine the detection threshold level. The consequences of data injection attacks are quantified using a risk assessment process based on realistic system simulations. The simulation results are used as an input to a stochastic game model, where the decisions on defensive measures are made taking into account resource constraints represented by cost values. Thus, Security games provide a framework for choosing the best response strategies against attackers in order to minimize potential risks. The framework developed is also useful to analyse different types of attacks and defensive measures. The theoretical results obtained are demonstrated using numerical examples.

  • Security games and risk minimization for automatic generation control in Smart Grid
    Lecture Notes in Computer Science, 2012
    Co-Authors: Yee Wei Law, Tansu Alpcan, Marimuthu Palaniswami, Subhrakanti Dey
    Abstract:

    The power Grid, on which most economic activities rely, is a critical infrastructure that must be protected against potential threats. Advanced monitoring technologies at the center of Smart Grid evolution increase its efficiency but also make it more susceptible to malicious attacks such as false data injection. This paper develops a game-theoretic approach to Smart Grid Security by combining quantitative risk management with decision making on protective measures. Specifically, the consequences of data injection attacks are quantified using a risk assessment process based on simulations. Then, the quantified risks are used as an input to a stochastic game model, where the decisions on defensive measures are made taking into account resource constraints. Security games provide the framework for choosing the best response strategies against attackers in order to minimize potential risks. The theoretical results obtained are demonstrated using numerical examples. © 2012 Springer-Verlag.