METHODS AND SYSTEMS PROVIDING CYBER SECURITY

    公开(公告)号:US20170257396A1

    公开(公告)日:2017-09-07

    申请号:US15057234

    申请日:2016-03-01

    CPC classification number: H04L63/1491 G06N7/005 H04L63/1408

    Abstract: For cyber security, a computer with network access incorporates game theory and utilizes a honey net to enhance game-theoretic developments over active and passive sensors. To numerically solve the uniquely three-sided game modeled cyber security problem, a geometry method based on 3D action curves can be applied. The method can first determine whether the game problem has one Nash equilibrium, multiple Nash equilibriums, or no Nash equilibrium; can check the equilibrium is a mixed or pure Nash; can timely compute Nash equilibriums; and follows a fictitious play concept. The solution is adaptive and can be applied for any partially observed cyber security system.

    METHOD AND SYSTEM FOR PREDICTING COLLISION PROBABILITY OF SPACE OBJECTS VIA GRAPHICS PROCESSING UNIT

    公开(公告)号:US20170124758A1

    公开(公告)日:2017-05-04

    申请号:US14927428

    申请日:2015-10-29

    Abstract: Method and system for predicting collision probability of space objects are provided. Space objects are allocated according to a total number thereof for parallel computation in a GPU device. Initial orbit states of the space objects are generated by an initial-orbit-state generation kernel of the GPU device. Orbit propagation for each space object is performed based on the initial orbit state to predict a state of each space object by an orbit propagation kernel of the GPU device. The predicted states of the space objects are collected by a predicted-orbit-state collection kernel of the GPU device. A real-time visualization and rendering of the predicted space objects are performed in a form of point cloud during interactions between CPU threads and GPU kernels. A CPU host predicts a collision probability of any two space objects among the multitude of space objects, according to the interactions between the CPU threads and the GPU kernels.

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