A Study on Deep Learning Methods Used for Intrusion Detection and Prevention

Cyberattacks are growing swiftly as the Internet grows, and the situation of cyber security is not encouraging. The availability of vital services is disrupted by denial-of-service (DoS) attacks, one of the most dangerous security risks facing the Internet today. The range of attack strategies and the amount of real-time traffic that has to be analysed provide a barrier to DoS detection. This study report describes key literature surveys about detecting and preventing denial of service (DoS) attacks using different deep learning methods.