A Survey Paper on an On-Line Intrusion Detection Approach to Identify Low-Rate Dos Attacks

High rate Denial of service attacks, happen in relatively small amount of time, low rate DoS attack consume resources relatively at slower rate but cause eventual crash of the service providing server. The problem of detection of Slow Denial of Service attacks within small time is a challenging task because the approaches either have scalability limitations due to inherent computational costs or these approaches lack timely detection. To overcome this problem, here analysis focuses on the quantity of data directed from the transport layer to the application layer. Frequency of such transfers is taken as input and analysis has been done to identify patterns that show possible Low rate DoS attacks within expected time. It has been discovered in frequency domain analysis that patterns differ between legitimate and anomalous transactions in time horizon proving that fast detection is possible.