Nowadays the internet has made a momentous impact on our daily life but we are not safe enough in the internet world. Last two decades, network security scholars have shown several innovative and practical solutions to save us from network and internet attacks. Among all the internet threats denial-of-service (DoS) and distributed denial-of-service (DDoS) attacks are considered the most notorious and devastating ones. These attacks are one of the main threats that are a serious security problem for today’s internet. To exhaust the resources of target networks, these attacks are launched by generating a huge amount of network traffic. This study proposes a new model for real-time intrusion prevention systems for DDoS attacks. It is true that creative attackers are continuously developing effective attacking tools and techniques to impose maximum damage due to the rapid technological advancement. The proposed Efficient Detection System of Network Intrusion (EDSONI) model makes use of both the detection and prevention of this malicious activity properly. CICIDS2017 dataset has been applied to this proposed system to experiment with the detection and prevention performance.