Knowledge Based System for Detection and Prevention of DDoS Attacks using Fuzzy logic
Amit Khajuria, Roshan Srivastava · 2013
Abstract: DDoS Attacks are associated with numerous challenges like security, performance of system etc where resources are shared by many users. Our research’s main aim is to detect and prevent DDoS attacks using Knowledge based system using Neuro Fuzzy Logic. The aim is to provide a proactive DDoS detection and defense mechanism by proposing knowledge based system in Adaptive Neuro Fuzzy Inference System by training the data over true and false data packets in a network. Anfis trains the data and the attack data can be detected from large datasets. This detection system can detect many DDoS attack and prevent the network from attacks. 1.1