Description

With the booming of cyber attacks and cyber criminals against cyber-physical systems (CPSs), detecting these attacks remains challenging. The main objective of our project is to detect the cyber attacks by using deep and machine learning algorithms. Intrusion detection is one of the important security problems in today’s cyber world. A significant number of techniques have been developed which are based on machine learning approaches. So for identifying the intrusion we have designed the machine learning algorithms. In this systemUNSW-NB15 dataset was taken from dataset repository. Then, we have to implement the different classification algorithms such as Logistic regression (LR) and LSTM. The experimental results shows that the accuracy for both algorithms.