Enhancement of virtual private network security using machine learning technologies

Network security concerns and approaches are expanded in the recent days due to the network developments and network user’s expansion. In this paper, virtual private network is suggested for network security after fulfilment of other network performance metrics such as throughput and time delay. Furthermore, in order to prevent any malicious activities with those connections under one virtual private network, artificial intelligence attack predictor is implemented. Using of various machine learning algorithms such as Naïve Bays and Random Forest, attacks can be predicted and then blocked. Another approach is used for attacks prediction called as Artificial Neural Network which represents a deep learning technology to predict any attach by learning the attacks behaviors during the training stage.