DDoS Attack Detection and Analytics

Being used to target a single system or website with overwhelming traffic. This can cause the system or website to become unavailable to legitimate users. DDoS attacks are often used to extort money from businesses or organizations by threatening to take down their websites or systems. They can also be used for political purposes, to, which are used to overwhelm a target website with fake traffic, Critical attacks that compromise systems include denial of service attacks. DDoS attacks are like viral infection that grows abnormally and detecting these have become one of the tuff tasks and this experiment have been conducted on a local test server and these will generate new datasets and been stored in the form of csv [1], Tor Hammer tool was used as an attacking simulation. To identify whether to identify the network behaves in normal or abnormal manner. Classification algorithms are a very important category of supervised ML algorithms. SVM, DT, KNN, and Logistic Regression for classification.