Detecting DDoS Attack using Multi-Agent System

Detecting DDoS Attack using Multi-Agent System

Dr. M. Purushotham

Woxen University, Hyderabad

Purushotham.muniganti@woxen.edu.in

Abstract
Distributed denial of service attacks are the acts aiming at the prostration of the limited service coffers within a target host and leading to the rejection of the valid stoner service request. During a DDoS attack, the target host is attacked by multiple, coordinated attack programs, frequently with disastrous results. thus, the effective discovery, identification, treatment, and forestallment of DDoS attacks are of great significance. Grounded on the exploration of DDoS attack principles, features and styles, combined with the possible scripts of DDoS attacks, aMulti-Agent System- grounded DDoS attack discovery system is proposed in this paper to apply DDoS attack discovery for high- cargo communication scripts. In this paper, we take themulti-layer communication protocols into consideration to carry out categorizing and assaying DDoS attacks. Especially   given the high- cargo communication scripts, we make an trouble to exploring a possible DDoS attack discovery system with employing a target- drivenmulti-agent modeling methodology to descry DDoS attacks counting on considering the essential characteristics of DDoS attacks. According to the trials verification, the proposed DDoS attack discovery system plays a better discovery   performance and is less applicable with the data unit granularity. Meanwhile, the system can effectively descry the target attacks after the sample training. The discovery scheme grounded on the agent technology can nicely perform thepre-set actions and with good scalability to meet the follow- farther conditions of designing and enforcing the prototype software.

Index Terms—Bayesian classifier; DDoS attack detec tion; Agent technology.