Big Data Protection Methods Using Neural Networks
摘要
Particular attention is currently paid to methods of protecting big data using neural networks (NN) and fuzzy neural networks (FNN). The article considers a system of protection against information leaks and a system of video data stream analysis. In both systems, neural networks are used to analyze big data. Neural networks are an effective tool for processing and decomposing big data. In particular, a vector criterion is used to solve this problem, which compresses the volume and consequently speeds up data processing. Optimization of the modular neural network allows to identify patterns of data distribution in the stream and to classify them using private classifiers for individual modules. The video data stream analysis system uses pulse neural networks.