Visualization of DDoS Attack using Python Libraries
T. Subbulakshmi, G K Mohith, Arun Santhosh R A · 2024
With companies relying more and more on online services, the risk posed by Distributed Denial of Service (DDoS) attacks has notably increased. These attacks have the potential to cause significant damage to the systems they target, leading to disruptions in service, loss of data, and economic losses. To mitigate the impact of DDoS attacks, effective detection mechanisms are necessary. This research paper focuses on DDoS Attack prediction and visualisation techniques using Scapy functions of Python and its libraries to create graphs of various parameters that helps us analyse the of a given "pcap" file of which stores the packets captured in the real time network using WireShark Application. The paper uses various modules of Python to avoid human error and to give various features for the User to view the results plotted.