An Improved Novel ANN Model for Detection Of DDoS Attacks On Networks

Attacks over the internet have become an increasing
menace in recent time which tries to hack or illegally
tamper with the data available over the networks. On the
other hand, there has been an increase in volume in
research contributions to effectively counter attack these
attacks and implement a strong defence mechanism. There
have been numerous algorithms and frameworks
implemented in recent times which are intelligent and soft
computing based. These evolution based algorithms play a
vital role in self adapting the system under attack towards
increasing and new types of attacks which are increasing
day by day. One such area of soft computing algorithms
investigated in this chapter is the artificial neural network
or popularly known as ANNs. They work analogous to the
biological neurons in the human body. The chapter is
organized in a systematic manner to give an insight in to
ANN based network models to counter attack DDoS
attacks which has been the primary focus of this thesis,
architecture and implementation of ANNs, the
experimental investigations and findings which help in
drawing an inference of ANN based defence models.