Comparative Analysis on DDoS Detection Techniques


  • Akshat Shrivastava, Kapil Sharma


DDoS Attack, Cyber-Security, Internet of Things (IoT), Unmanned Aerial Vehicle (UAVs), Machine Learn- ing, Smart City


Cyber security is always a topic of concern in the IT world. As the internet and types of devices, and domains in which these devices are used for sharing information are increasing also resulting in cyber threats to increase rapidly. Distributed Denial of Service (DDoS) attack is one of them which is quite simple to execute but it has the capability to shut down an entire country from several hours to days. Now in order to prevent the DDoS attack we need detection techniques, which can detect these attack at appropriate time so that mitigation steps can be taken accordingly. Many researchers have proposed different types of detection techniques. This paper focus on different types of DDoS detection techniques which are present for different types of devices which are connected in networks. The study will have a comparative analysis of available detection techniques on different parameters and also providing an overview of techniques. This paper will also discuss about performance of all the models and a comparative analysis of it. This article will conclude with discussion, analysis and recommendations in order to make DDoS detection techniques more reliable and better.