Predicting of DDoS Attack on DNS Server using Logistic regression Algorithm

The internet heavily relies on the Domain Name System (DNS) to perform essential functions for users worldwide. However, Distributed Denial of Service (DDoS) attacks on DNS servers pose significant challenges to this functionality. In this paper, we introduce a method for detecting DDoS attacks on DNS servers using a logistic regression algorithm. We selected response time and packet length as key features for predicting attacks. Our dataset was generated using VMware and Wireshark tools. The Python programming language was employed to implement and evaluate the model. The results indicate that the proposed model effectively and accurately detects DDoS attacks on DNS servers.