TO Overcome UDP Flooding Attacks in IP Multimedia Subsystem (NGN) using the Genetic Intrusion Detection Systems (IDS)

Abstract IP Multimedia Subsystem designed by the 3rd Generation Partnership Project to provide the access networks services and telecommunication services, plans to merge services like multimedia, data and voice conversation under one umbrella. In this research, network based anomaly detection system is proposed by using Genetic Algorithm rules to avoid such attacks like UDP Flooding which cause the DoS and DDoS attacks keeping in view to secure the IMS and also discussed the complete overview of IMS (NGN) based network architecture, their DoS and DDoS attacks which cause the unavailability of services to the users.IMS inherits many security issues because the billions users are in the form to interact with IMS to get large No of services like multimedia, data or voice conversation. Due the large usage of IMS services there is also the availability of malicious user to attack the IMS services and make the services unavailable for the intended user, which reduces the performance of IMS. IMS based abnormality detection method is proposed using GA as abnormality detector. Genetic Intrusion Detection system effectively detects intrusive attack in IMS system and shows low false positive results.