The Experts below are selected from a list of 8136 Experts worldwide ranked by ideXlab platform

Dharmendra Sharma - One of the best experts on this subject based on the ideXlab platform.

  • ICOIN - Timing control for protecting from internal attacks in wireless sensor networks
    The International Conference on Information Network 2012, 2012
    Co-Authors: Xu Huang, Muhammad R. Ahmed, Dharmendra Sharma
    Abstract:

    Wireless sensor networks (WSNs) are widely used due to they are easy and rapid deployed, low cost, low power, self-organized, cooperatively collect the environmental information and realize the integration of the physical world and communication network. It is the fact that due to open nature of the wireless medium an adversary can easily eavesdrop and replay or inject fabricated messages. Different cryptographic methods can be used to defend against some of such attacks. However, node compromise is another major problem of WSN security as it allows an adversary to enter inside the security perimeter of the network, which raised a serious challenge for WSNs. This paper is focusing on investigating internal attacks of wireless sensor networks, by which we show our novel method will work well for the security under some fixed parameters designed by the network designer, we also have reasonable model for predicting the highest signal noise ratio (S/N). “Timing control” method is to be used for protecting internal attacks in SWNs. Therefore we may allow a sinker to be open only around a particular time period to receive the signals from the sources while the other time slots are in “Sleeping State” to ignore any signals, including the internal attacking signal. In particularly, we found the highest S/N timing can be controlled by the sending rating for a fixed network. We can easily manipulate the sending rate to control the time when the highest S/N is occurring to protect from “internal attacks.” The simulation results have been shown and they underpinned our novel algorithm.

  • EUC - A Novel Algorithm for Protecting from Internal Attacks of Wireless Sensor Networks
    2011 IFIP 9th International Conference on Embedded and Ubiquitous Computing, 2011
    Co-Authors: Xu Huang, Muhammad R. Ahmed, Dharmendra Sharma
    Abstract:

    Wireless sensor networks (WSNs) are composed of large number of low cost, low power and cooperatively collect the environmental information and realize the integration of the physical world and communication network. Due to open nature of the wireless medium an adversary can easily eavesdrop and replay or inject fabricated messages. Different cryptographic methods can be used to defend against some of such attacks. However, node compromise is another major problem of WSN security due to it allows an adversary to enter inside the security perimeter of the network, which raised a serious challenge for WSNs. This paper is focusing on investigating internal attacks of wireless sensor networks, by which we show our novel algorithm that under some fixed parameters designed by the network designer, we can have reasonable model for predicting the highest signal noise ratio (S/N). Therefore we may allow the sinker to be open only around that particular time period to receive the signals from the sources while the other time slots are in "Sleeping State" to ignore any signals, including the internal attacking signal. In particularly, we found the highest S/N timing can be controlled by the sending rating for the fixed network. We can easily manipulate the sending rate to control the time of the highest S/N to protect "internal attacks." The simulations results have been shown to underpin our novel algorithm.

J A Dempsey - One of the best experts on this subject based on the ideXlab platform.

  • load compensation and respiratory muscle function during sleep
    Journal of Applied Physiology, 1992
    Co-Authors: K G Henke, M S Badr, J B Skatrud, J A Dempsey
    Abstract:

    The Sleeping State places unique demands on the ventilatory control system. The sleep-induced increase in airway resistance, the loss of consciousness, and the need to maintain the Sleeping State without frequent arousals require the presence of complex compensatory mechanisms. The increase in upper airway resistance during sleep represents the major effect of sleep on ventilatory control. This occurs because of a loss of muscle activity, which narrows the airway and also makes it more susceptible to collapse in response to the intraluminal pressure generated by other inspiratory muscles. The magnitude and timing of the drive to upper airway vs. other inspiratory pump muscles determine the level of resistance and can lead to inspiratory flow limitation and complete upper airway occlusion. The fall in ventilation with this mechanical load is not prevented, as it is in the awake State, because of the absence of immediate compensatory responses during sleep. However, during sleep, compensatory mechanisms are activated that tend to return ventilation toward control levels if the load is maintained. Upper airway protective reflexes, intrinsic properties of the chest wall, muscle length-compensating reflexes, and most importantly chemoresponsiveness of both upper airway and inspiratory pump muscles are all present during sleep to minimize the adverse effect of loading on ventilation. In non-rapid-eye-movement sleep, the high mechanical impedance combined with incomplete load compensation causes an increase in arterial PCO2 and augmented respiratory muscle activity. Phasic rapid-eye-movement sleep, however, interferes further with effective load compensation, primarily by its selective inhibitory effects on the phasic activation of postural muscles of the chest wall. The level and pattern of ventilation during sleep in health and disease States represent a compromise toward the ideal goal, which is to achieve maximum load compensation and meet the demand for chemical homeostasis while maintaining sleep State.

Xu Huang - One of the best experts on this subject based on the ideXlab platform.

  • ICOIN - Timing control for protecting from internal attacks in wireless sensor networks
    The International Conference on Information Network 2012, 2012
    Co-Authors: Xu Huang, Muhammad R. Ahmed, Dharmendra Sharma
    Abstract:

    Wireless sensor networks (WSNs) are widely used due to they are easy and rapid deployed, low cost, low power, self-organized, cooperatively collect the environmental information and realize the integration of the physical world and communication network. It is the fact that due to open nature of the wireless medium an adversary can easily eavesdrop and replay or inject fabricated messages. Different cryptographic methods can be used to defend against some of such attacks. However, node compromise is another major problem of WSN security as it allows an adversary to enter inside the security perimeter of the network, which raised a serious challenge for WSNs. This paper is focusing on investigating internal attacks of wireless sensor networks, by which we show our novel method will work well for the security under some fixed parameters designed by the network designer, we also have reasonable model for predicting the highest signal noise ratio (S/N). “Timing control” method is to be used for protecting internal attacks in SWNs. Therefore we may allow a sinker to be open only around a particular time period to receive the signals from the sources while the other time slots are in “Sleeping State” to ignore any signals, including the internal attacking signal. In particularly, we found the highest S/N timing can be controlled by the sending rating for a fixed network. We can easily manipulate the sending rate to control the time when the highest S/N is occurring to protect from “internal attacks.” The simulation results have been shown and they underpinned our novel algorithm.

  • EUC - A Novel Algorithm for Protecting from Internal Attacks of Wireless Sensor Networks
    2011 IFIP 9th International Conference on Embedded and Ubiquitous Computing, 2011
    Co-Authors: Xu Huang, Muhammad R. Ahmed, Dharmendra Sharma
    Abstract:

    Wireless sensor networks (WSNs) are composed of large number of low cost, low power and cooperatively collect the environmental information and realize the integration of the physical world and communication network. Due to open nature of the wireless medium an adversary can easily eavesdrop and replay or inject fabricated messages. Different cryptographic methods can be used to defend against some of such attacks. However, node compromise is another major problem of WSN security due to it allows an adversary to enter inside the security perimeter of the network, which raised a serious challenge for WSNs. This paper is focusing on investigating internal attacks of wireless sensor networks, by which we show our novel algorithm that under some fixed parameters designed by the network designer, we can have reasonable model for predicting the highest signal noise ratio (S/N). Therefore we may allow the sinker to be open only around that particular time period to receive the signals from the sources while the other time slots are in "Sleeping State" to ignore any signals, including the internal attacking signal. In particularly, we found the highest S/N timing can be controlled by the sending rating for the fixed network. We can easily manipulate the sending rate to control the time of the highest S/N to protect "internal attacks." The simulations results have been shown to underpin our novel algorithm.

K G Henke - One of the best experts on this subject based on the ideXlab platform.

  • load compensation and respiratory muscle function during sleep
    Journal of Applied Physiology, 1992
    Co-Authors: K G Henke, M S Badr, J B Skatrud, J A Dempsey
    Abstract:

    The Sleeping State places unique demands on the ventilatory control system. The sleep-induced increase in airway resistance, the loss of consciousness, and the need to maintain the Sleeping State without frequent arousals require the presence of complex compensatory mechanisms. The increase in upper airway resistance during sleep represents the major effect of sleep on ventilatory control. This occurs because of a loss of muscle activity, which narrows the airway and also makes it more susceptible to collapse in response to the intraluminal pressure generated by other inspiratory muscles. The magnitude and timing of the drive to upper airway vs. other inspiratory pump muscles determine the level of resistance and can lead to inspiratory flow limitation and complete upper airway occlusion. The fall in ventilation with this mechanical load is not prevented, as it is in the awake State, because of the absence of immediate compensatory responses during sleep. However, during sleep, compensatory mechanisms are activated that tend to return ventilation toward control levels if the load is maintained. Upper airway protective reflexes, intrinsic properties of the chest wall, muscle length-compensating reflexes, and most importantly chemoresponsiveness of both upper airway and inspiratory pump muscles are all present during sleep to minimize the adverse effect of loading on ventilation. In non-rapid-eye-movement sleep, the high mechanical impedance combined with incomplete load compensation causes an increase in arterial PCO2 and augmented respiratory muscle activity. Phasic rapid-eye-movement sleep, however, interferes further with effective load compensation, primarily by its selective inhibitory effects on the phasic activation of postural muscles of the chest wall. The level and pattern of ventilation during sleep in health and disease States represent a compromise toward the ideal goal, which is to achieve maximum load compensation and meet the demand for chemical homeostasis while maintaining sleep State.

Muhammad R. Ahmed - One of the best experts on this subject based on the ideXlab platform.

  • ICOIN - Timing control for protecting from internal attacks in wireless sensor networks
    The International Conference on Information Network 2012, 2012
    Co-Authors: Xu Huang, Muhammad R. Ahmed, Dharmendra Sharma
    Abstract:

    Wireless sensor networks (WSNs) are widely used due to they are easy and rapid deployed, low cost, low power, self-organized, cooperatively collect the environmental information and realize the integration of the physical world and communication network. It is the fact that due to open nature of the wireless medium an adversary can easily eavesdrop and replay or inject fabricated messages. Different cryptographic methods can be used to defend against some of such attacks. However, node compromise is another major problem of WSN security as it allows an adversary to enter inside the security perimeter of the network, which raised a serious challenge for WSNs. This paper is focusing on investigating internal attacks of wireless sensor networks, by which we show our novel method will work well for the security under some fixed parameters designed by the network designer, we also have reasonable model for predicting the highest signal noise ratio (S/N). “Timing control” method is to be used for protecting internal attacks in SWNs. Therefore we may allow a sinker to be open only around a particular time period to receive the signals from the sources while the other time slots are in “Sleeping State” to ignore any signals, including the internal attacking signal. In particularly, we found the highest S/N timing can be controlled by the sending rating for a fixed network. We can easily manipulate the sending rate to control the time when the highest S/N is occurring to protect from “internal attacks.” The simulation results have been shown and they underpinned our novel algorithm.

  • EUC - A Novel Algorithm for Protecting from Internal Attacks of Wireless Sensor Networks
    2011 IFIP 9th International Conference on Embedded and Ubiquitous Computing, 2011
    Co-Authors: Xu Huang, Muhammad R. Ahmed, Dharmendra Sharma
    Abstract:

    Wireless sensor networks (WSNs) are composed of large number of low cost, low power and cooperatively collect the environmental information and realize the integration of the physical world and communication network. Due to open nature of the wireless medium an adversary can easily eavesdrop and replay or inject fabricated messages. Different cryptographic methods can be used to defend against some of such attacks. However, node compromise is another major problem of WSN security due to it allows an adversary to enter inside the security perimeter of the network, which raised a serious challenge for WSNs. This paper is focusing on investigating internal attacks of wireless sensor networks, by which we show our novel algorithm that under some fixed parameters designed by the network designer, we can have reasonable model for predicting the highest signal noise ratio (S/N). Therefore we may allow the sinker to be open only around that particular time period to receive the signals from the sources while the other time slots are in "Sleeping State" to ignore any signals, including the internal attacking signal. In particularly, we found the highest S/N timing can be controlled by the sending rating for the fixed network. We can easily manipulate the sending rate to control the time of the highest S/N to protect "internal attacks." The simulations results have been shown to underpin our novel algorithm.