threat assessment in the computer networks of organizations can reduce damage caused by attacks and unexpected events. data fusion models such as the jdl model provide efficient and adequate sensors to gather the right information at the right time from the right components. this information then is refined and normalized to provide situational awareness and assess events that may be intended a...

in this paper we investigate a new notion of bases in hilbert spaces and similarto fusion frame theory we introduce fusion bases theory in hilbert spaces. we also introducea new denition of fusion dual sequence associated with a fusion basis and show that theoperators of a fusion dual sequence are continuous projections. next we dene the fusionbiorthogonal sequence, bessel fusion basis, hilbe...

Against the range-dependent accuracy of the tracking radar measurements including range, elevation and bearing angles, a new hybrid adaptive Kalman filter is proposed to enhance the performance of the radar aided strapdown inertial navigation system (INS/Radar). This filter involves the concept of residual-based adaptive estimation and adaptive fading Kalman filter and tunes dynamically the fil...

against the range-dependent accuracy of the tracking radar measurements including range, elevation and bearing angles, a new hybrid adaptive kalman filter is proposed to enhance the performance of the radar aided strapdown inertial navigation system (ins/radar). this filter involves the concept of residual-based adaptive estimation and adaptive fading kalman filter and tunes dynamically the fil...

service availability is important for any organization. this has become more important with the increase of dos attacks. it is therefore essential to assess the threat on service availability. we have proposed a new model for threat assessment on service availability with a data fusion approach. we have selected three more important criteria for evaluating the threat on service availability and...