Real Time Cloud Based Intrusion Detection
Ekta Bafna · 2021
With the rapid development in the information technology, network technology, computer security, and cyber security, we need intrusion detection technology to defend from attacks. Despite that fact, numerous new advancements and security upgrades are adhered to the technology, penetrating the security measures to achieve the same development and improvements. To improve the accuracy of network intrusion detection and reduce false alarm, a Deep Learning algorithms defined from a KDD Cup 99's dataset is designed. This chapter explains the classification and prediction of network assaults through an algorithm. The real time intrusion detection system finds the network attack using the different Deep Learning algorithms to calculate the accuracy detection rate and false alarm rate and generate higher accuracy and efficient prediction of network attacks.