Analysis of Network Attacks in Cyber Security using Deep Learning

Several industries have found methods of deep learning to be beneficial. One such area is cyber security. In order to monitor and reduce network risks. The classification technique of deep learning is applied to observe and avert network intrusions. Deep learning and machine learning can be used by cyber security professionals to make systems safer. A collection of given data are frequently used. Along with, three deep learning techniques, the algorithms are Convolutional Neural Network (CNN), Long Short Term Memory (LSTM) and CNN with LSTM. Metrics including precision, accuracy, f1score, and recall are frequently employed to assess these models' ability. The findings showed that in this study, the CNN with LSTM provided the greatest efficiency and implications. These results will demonstrate how we can protect against any internal or external danger to the network by using this technique to detect multiple breaches.