Information Security Risk Assessment Method Based on Quantum Neural Network
LI Huan-shuang · Journal of Guizhou University · 2013
For the problem of the features of the diversity of objects which belongs to the security risk assessment of information and the uncertainty,large volumes of data and no regularity of information,the information security risk assessment methods were proposed based on Quantum Neural Networks.The object properties were treated as the entrance of Quantum Neural Networks,and the integrated risk of information system was obtained through the processing of Quantum Neural Networks system.Simulation results show that risk assessment methods based on Quantum Neural Networks are more efficient and reliable than the classical BP network assessment methods and they can be applied to the actual the security risk assessment of information.