International Society of Information Fusion

Displaying 1-3 of 3 results

  • White Papers // Feb 2010

    Strategies Comparison for Game Theoretic Cyber Situational Awareness and Impact Assessment

    This paper compares different defense strategies against various attacks utilizing a dynamic game theoretic data fusion framework for cyber network defense. In the game theoretic framework, Alerts generated by Intrusion Detection Sensors (IDSs) or Intrusion Prevention Sensors (IPSs) are fed into the data refinement (Level 0) and object assessment (L1)...

    Provided By International Society of Information Fusion

  • White Papers // Jan 2010

    Data Versus Decision Fusion for Classification in Sensor Networks

    Sensor networks provide virtual snapshots of the physical world via distributed wireless nodes that can sense in different modalities, such as acoustic and seismic. Classification of objects moving through the sensor field is an important application that requires collaborative signal processing (CSP) between nodes. Two main forms of CSP are...

    Provided By International Society of Information Fusion

  • White Papers // Jul 2009

    A Dynamic Infrastructure for Interconnecting Disparate ISR/ISTAR Assets (the ITA Sensor Fabric)

    The authors have produced the basis for a middleware for sensor networks which facilitates universal access to intelligence data from any connected point on the network, which monitors and controls connected assets, and has built-in resilience to failures. It is capable of spanning the network from the data centre to...

    Provided By International Society of Information Fusion

  • White Papers // Feb 2010

    Strategies Comparison for Game Theoretic Cyber Situational Awareness and Impact Assessment

    This paper compares different defense strategies against various attacks utilizing a dynamic game theoretic data fusion framework for cyber network defense. In the game theoretic framework, Alerts generated by Intrusion Detection Sensors (IDSs) or Intrusion Prevention Sensors (IPSs) are fed into the data refinement (Level 0) and object assessment (L1)...

    Provided By International Society of Information Fusion

  • White Papers // Jan 2010

    Data Versus Decision Fusion for Classification in Sensor Networks

    Sensor networks provide virtual snapshots of the physical world via distributed wireless nodes that can sense in different modalities, such as acoustic and seismic. Classification of objects moving through the sensor field is an important application that requires collaborative signal processing (CSP) between nodes. Two main forms of CSP are...

    Provided By International Society of Information Fusion

  • White Papers // Jul 2009

    A Dynamic Infrastructure for Interconnecting Disparate ISR/ISTAR Assets (the ITA Sensor Fabric)

    The authors have produced the basis for a middleware for sensor networks which facilitates universal access to intelligence data from any connected point on the network, which monitors and controls connected assets, and has built-in resilience to failures. It is capable of spanning the network from the data centre to...

    Provided By International Society of Information Fusion