Neural network models in big data analytics and cyber security

Nowadays, big data analytics has gained more popularity than any other domain in the research world. Its uses in domains like cyber security, but also the security of data itself, represent great challenges for researchers. Neural Network approaches have been of interest in developing models and architectures for discovering patterns and malicious activity of the users. In certain cases, the right model of a neural network can give better results than any other approach used for the same purpose. The pruning techniques for avoiding underfitting or overfitting and the training strategies can improve performance and deliver the best results.