RESEARCH ON: DDos Attack Detection Using Entropy Method

Abstract:

The main achievement of our project would be to detect the DDoS attack; this will help to differentiate between legitimate users and malicious users. On other hand our project provides a trace back mechanism through which one can know from where the attacks are coming, through which zombie computers. This document will define the design of the detection of DDoS attack using Fast Entropy Method.

Among the various security threats that have evolved till now, Denial of Service attack is the most destructive according to security experts. A Denial of service attack is basically used to block any service for intended users. A Distributed Denial of Service attack generates substantial packets by a large number of agents and can easily tire out the processing and communication resources of a victim within very less period of time. Defending DDoS problem involved several steps from detection, characterization and trace back in order to do mitigation.

The main purpose of this research paper is the detection of Distributed Denial of service attacks using fast entropy method and different tools will be used to detect DDos attack for given data set. The objective broken down into smaller categories to make our research effective and reactive.

Our first objective understands the subject in detail by going through previous papers and methods used to detect DDos attack.

Second objective is to choose the latest method used for DDos detection and start working on it.

Third objective is to choose tools that are requires to carry out implementation. Since carrying out attack needs extra care when compared to simulation.

This project also demands proper ways to measure the attack when it is actually occurring. Summing up the objective of our research would be to investigate and learn subject in depth, implementing the DDos attacks, use method that detect that attack.