Abstract: Distributed Denial of Service (DDoS) attacks are one of the most common threats to the internet. However, the unreliable communication is made through Routing System that formulates to trace the source of these attacks makes very tough. In IPv6, finding worms in UDP is not an easier task. Researchers propose a UDP worm detection technique in IPv6 which basically uses the entropy variations between regular flow and DDoS attacks. This is primarily different from commonly used packet evaluation techniques. In comparison to the existing DDoS entropy techniques, the proposed approach obtain a number of advantages it specially handles the UDP communication traffic, efficiently scalable, strong and not in favour of packet attack and free from attack traffic prototype. The investigational and model results are obtained to express the value and competence of the proposed method.