Impact Difference

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The Experts below are selected from a list of 377541 Experts worldwide ranked by ideXlab platform

Tsung-yi Ho - One of the best experts on this subject based on the ideXlab platform.

  • Leveraging Strategic Detection Techniques for Smart Home Pricing Cyberattacks
    IEEE Transactions on Dependable and Secure Computing, 2016
    Co-Authors: Shiyan Hu, Tsung-yi Ho
    Abstract:

    In this work, the vulnerability of the electricity pricing model in the smart home system is assessed. Two closely related pricing cyberattacks which manipulate the guideline electricity prices received at smart meters are considered and they aim at reducing the expense of the cyberattacker and increasing the peak energy usage in the local community. A single event detection technique which uses support vector regression and Impact Difference for detecting anomaly pricing is proposed. The detection capability of such a technique is still limited since it does not model the long term Impact of pricing cyberattacks. This motivates us to develop a partially observable Markov decision process based detection algorithm, which has the ingredients such as reward expectation and policy transfer graph to account for the cumulative Impact and the potential future Impact due to pricing cyberattacks. Our simulation results demonstrate that the pricing cyberattack can reduce the cyberattacker's bill by 34.3 percent at cost of the increase of others’ bill by 7.9 percent, and increase the peak to average ratio (PAR) by 35.7 percent. Furthermore, the proposed long term detection technique has the detection accuracy of more than 97 percent with significant reduction in PAR and bill compared to repeatedly using the single event detection technique.

  • Vulnerability assessment and defense technology for smart home cybersecurity considering pricing cyberattacks
    IEEE ACM International Conference on Computer-Aided Design Digest of Technical Papers ICCAD, 2015
    Co-Authors: Shiyan Hu, Tsung-yi Ho
    Abstract:

    Smart home, which controls the end use of the power grid, has become a critical component in the smart grid infrastructure. In a smart home system, the advanced metering infrastructure (AMI) is used to connect smart meters with the power system and the communication system of a smart grid. The electricity pricing information is transmitted from the utility to the local community, and then broadcast through wired or wireless networks to each smart meter within AMI. In this work, the vulnerability of the above process is assessed. Two closely related pricing cyberattacks which manipulate the guideline electricity prices received at smart meters are considered and they aim at reducing the expense of the cyberattacker and increasing the peak energy usage in the local community. A countermeasure technique which uses support vector regression and Impact Difference for detecting anomaly pricing is then proposed. These pricing cyberattacks explore the interdependance between the transmitted electricity pricing in the communication system and the energy load in the power system, which are the first such cyber-attacks in the smart home context. Our simulation results demonstrate that the pricing cyberattack can reduce the attacker's bill by 34.3% at the cost of the increase of others' bill by 7.9% on average. In addition, the pricing cyberattack can unbalance the energy load of the local power system as it increases the peak to average ratio by 35.7%. Furthermore, our simulation results show that the proposed countermeasure technique can effectively detect the electricity pricing manipulation.

Shiyan Hu - One of the best experts on this subject based on the ideXlab platform.

  • Leveraging Strategic Detection Techniques for Smart Home Pricing Cyberattacks
    IEEE Transactions on Dependable and Secure Computing, 2016
    Co-Authors: Shiyan Hu, Tsung-yi Ho
    Abstract:

    In this work, the vulnerability of the electricity pricing model in the smart home system is assessed. Two closely related pricing cyberattacks which manipulate the guideline electricity prices received at smart meters are considered and they aim at reducing the expense of the cyberattacker and increasing the peak energy usage in the local community. A single event detection technique which uses support vector regression and Impact Difference for detecting anomaly pricing is proposed. The detection capability of such a technique is still limited since it does not model the long term Impact of pricing cyberattacks. This motivates us to develop a partially observable Markov decision process based detection algorithm, which has the ingredients such as reward expectation and policy transfer graph to account for the cumulative Impact and the potential future Impact due to pricing cyberattacks. Our simulation results demonstrate that the pricing cyberattack can reduce the cyberattacker's bill by 34.3 percent at cost of the increase of others’ bill by 7.9 percent, and increase the peak to average ratio (PAR) by 35.7 percent. Furthermore, the proposed long term detection technique has the detection accuracy of more than 97 percent with significant reduction in PAR and bill compared to repeatedly using the single event detection technique.

  • Vulnerability assessment and defense technology for smart home cybersecurity considering pricing cyberattacks
    IEEE ACM International Conference on Computer-Aided Design Digest of Technical Papers ICCAD, 2015
    Co-Authors: Shiyan Hu, Tsung-yi Ho
    Abstract:

    Smart home, which controls the end use of the power grid, has become a critical component in the smart grid infrastructure. In a smart home system, the advanced metering infrastructure (AMI) is used to connect smart meters with the power system and the communication system of a smart grid. The electricity pricing information is transmitted from the utility to the local community, and then broadcast through wired or wireless networks to each smart meter within AMI. In this work, the vulnerability of the above process is assessed. Two closely related pricing cyberattacks which manipulate the guideline electricity prices received at smart meters are considered and they aim at reducing the expense of the cyberattacker and increasing the peak energy usage in the local community. A countermeasure technique which uses support vector regression and Impact Difference for detecting anomaly pricing is then proposed. These pricing cyberattacks explore the interdependance between the transmitted electricity pricing in the communication system and the energy load in the power system, which are the first such cyber-attacks in the smart home context. Our simulation results demonstrate that the pricing cyberattack can reduce the attacker's bill by 34.3% at the cost of the increase of others' bill by 7.9% on average. In addition, the pricing cyberattack can unbalance the energy load of the local power system as it increases the peak to average ratio by 35.7%. Furthermore, our simulation results show that the proposed countermeasure technique can effectively detect the electricity pricing manipulation.

Akira Sataki - One of the best experts on this subject based on the ideXlab platform.

  • exergoenvironmental evaluation of the desiccant air conditioning system subjected to different regeneration temperatures
    International Journal of Air-conditioning and Refrigeration, 2016
    Co-Authors: Napoleon Enteria, Hiroshi Yoshino, Akira Sataki
    Abstract:

    This paper presents the exergoenvironment analysis of the developed desiccant-based air-conditioning system subjected to different regeneration temperatures. Exergoenvironment is a new evaluation tool combining the exergetic and life-cycle analyses to determine the environmental effect of the system’s components and the energy utilized for the system’s operation. The different materials in the manufacture of the system’s components and sources of energy to operate the system have different environmental Impacts. The results of the study show the system components exergy efficiency, system exergy destruction, relative environmental Impact Difference and exergoenvironmental Impact factor which are important parameters for this analysis. It shows that some components need exergy performance improvements through replacement with high efficiency components to minimize environmental Impact. Based on the results, application of the exergoenvironmental analysis is an important tool for knowing the environmental Impact of the system components and its operation. The method is important in desiccant air-conditioning systems in which different materials of the components and energy are utilized for the system design and operation.

Napoleon Enteria - One of the best experts on this subject based on the ideXlab platform.

  • exergoenvironmental evaluation of the desiccant air conditioning system subjected to different regeneration temperatures
    International Journal of Air-conditioning and Refrigeration, 2016
    Co-Authors: Napoleon Enteria, Hiroshi Yoshino, Akira Sataki
    Abstract:

    This paper presents the exergoenvironment analysis of the developed desiccant-based air-conditioning system subjected to different regeneration temperatures. Exergoenvironment is a new evaluation tool combining the exergetic and life-cycle analyses to determine the environmental effect of the system’s components and the energy utilized for the system’s operation. The different materials in the manufacture of the system’s components and sources of energy to operate the system have different environmental Impacts. The results of the study show the system components exergy efficiency, system exergy destruction, relative environmental Impact Difference and exergoenvironmental Impact factor which are important parameters for this analysis. It shows that some components need exergy performance improvements through replacement with high efficiency components to minimize environmental Impact. Based on the results, application of the exergoenvironmental analysis is an important tool for knowing the environmental Impact of the system components and its operation. The method is important in desiccant air-conditioning systems in which different materials of the components and energy are utilized for the system design and operation.

Hiroshi Yoshino - One of the best experts on this subject based on the ideXlab platform.

  • exergoenvironmental evaluation of the desiccant air conditioning system subjected to different regeneration temperatures
    International Journal of Air-conditioning and Refrigeration, 2016
    Co-Authors: Napoleon Enteria, Hiroshi Yoshino, Akira Sataki
    Abstract:

    This paper presents the exergoenvironment analysis of the developed desiccant-based air-conditioning system subjected to different regeneration temperatures. Exergoenvironment is a new evaluation tool combining the exergetic and life-cycle analyses to determine the environmental effect of the system’s components and the energy utilized for the system’s operation. The different materials in the manufacture of the system’s components and sources of energy to operate the system have different environmental Impacts. The results of the study show the system components exergy efficiency, system exergy destruction, relative environmental Impact Difference and exergoenvironmental Impact factor which are important parameters for this analysis. It shows that some components need exergy performance improvements through replacement with high efficiency components to minimize environmental Impact. Based on the results, application of the exergoenvironmental analysis is an important tool for knowing the environmental Impact of the system components and its operation. The method is important in desiccant air-conditioning systems in which different materials of the components and energy are utilized for the system design and operation.