Detection of DoS Attack Using Multivariate Correlation Analysis

network security

The huge number of Internet users and services are increases. All important services which are based on Internet needs to be maintained properly so that the users can avail them whenever they need. If the services are not available in time it will create a crisis. As the numbers of hosts in Internet are increasing, the threats to it are also increasing. Denial of Service (DoS) is the most deadly threats rising in Internet. Web services require security and stability and from these two concerns there are some methods that can disorientate DoS attack from ash crowd and trace the sources of the attack in large amount of traffic in network. But it is difficult to detect the exact sources of DoS attacks in traffic of network when crowd event is also present. After analyzing the characteristics of DoS attacks and the existing Algorithms to detect DoS attacks, In this Paper proposes a detecting and tracing algorithm for DoS attacks based on Multivariate correlation Analysis and triangle map generation. The proposed approach focuses majorly on the efficiency and scalability features with minimum overhead in terms of resources and time, removal of traffic pattern dependency, increase in detection rate between DoS and ash crowd and also trace the sources of DoS attack.

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