Research on the analytic factor neuron model based on cloud generator and its application in oil&gas SCADA security defense
Yong Hui Qin, Xiedong Cao, Peng Liang, Qichao Hu, Weiwei Zhang · 2014
This paper puts forward an analytic factor neuron model which combines reasoning machine based on the cloud generator with the Factors Neural Network theory. The factor neuron model is realized based on mobile intelligent agent and malicious behavior perception technology. Therefore, it, compared with the traditional security defense technology, has strong flexibility, mobility, scalability and other features. At the same time, the model has a cross-platform characteristics and distributed characteristics, which is suitable for the demand of the SCADA system security defense. This paper builds a neural network with a group of neurons model. By configuring each factor neuron model in the neural network, the safety of SCADA system can be protected effectively.