Discerning flooding attack from flash crowd based on traffic patterns using entropy detection method

Computing Industry is moving towards Service Oriented Architecture at a fast pace. This brings network security to the forefront of major concerns to an organization. Ensuring round the clock uninterrupted service to the clients becomes a top priority to any organization. Flooding Attack is one of the costliest attacks that use a host to overwhelm a server, causing complete system crash. Flash Crowd is an unexpected rise in traffic caused by legitimate users. Both flooding which is one of the types of DoS attack and Flash crowd creates abnormal traffic condition, but in order to improve good put, the server must be deployed with the mechanism that should classify legitimate and malicious call requests. The on-going attacks usually similar to each other compared to the flows of flash crowd so the provocation is to recognize flooding attacks from flash crowd. The recognition of flooding attack is done by, using the Entropy based detection method.