A Novel Hybrid Approach for Detection of DDoS Attack

Abstract

The Distributed denial of service (DDoS), special type of denial of service attack, has become one of the major threats to the internet. Assailants perform DDoS assault by coordinating countless sources to send futile activity to the casualty in this manner upsetting typical administrations. The risk of DDoS assaults has turned out to be much more serious as aggressors can trade off a colossal number of PCs by utilizing vulnerabilities in prominent working frameworks. With the Internet of Things in place the DDoS attack will have an enormous attack surfaces available to unleash its full potential. Due to its nature, DDoS prevention is not guaranteed. Attack detection be the next step of defense. The developed system uses hybrid approach, that is, combining two approaches, namely misuse-based and anomaly-based detection. The results achieved by the developed system are discussed in this paper.