Application: DDoS Attacks Resistance Scheme Using Polynomial Distribution Model

Distributed Denial of Service (DDoS) attacks pose an increasingly grave threat to the Internet. The previous work presented Gaussian distribution factor to enhance the attack resistance scheme. But it consumes more time to distribute the Gaussian factor across the Applications. To improve the security and service factor of the network, we present a polynomial distribution model for attack resistance scheme by distributing the application services prior to sending the packet data streams. Simulation using Network Simulator proves that attack resistance using polynomial distribution model minimizes execution time, load overhead and improves the security of the services contrast to existing enhanced attack resistance scheme for appddos attacks.