The Internet usage has increased rigorously in the modern scenario; cyber-attack such as DDoS attack is still the most
powerful attack that disrupts the genuine users from accessing the essential services. In application layer-based DDoS attack, attacker
uses other machine instead of using his own IP address to flood the targeted system and disrupts the services, that leads to server failure.
Most of the reputed enterprises are converting their networks to SDN (software defined networks) for cost efficiency and network
flexibility, but DDoS is one of the most launched attack on SDN layer. DDoS attack in this type of environment leads to system failure,
financial loss, data theft, and performance degradation. In our paper, extensive survey has been made to detect and prevent DDoS based
attack in application layer and SDN based environment. Finally, some of the important solutions are outlined. The solutions are
providing promising results based on various parameters.
Published In:IJCSN Journal Volume 9, Issue 2
Date of Publication : April 2020
Pages : 51-60
Tables : 02
Sharan A S :
is currently pursuing master's at B.M.S College of
Engineering, Banglore in Information Science department. I have
received my bachelor's degree in Computer Science and
Engineering in 2018. Got best paper award from international
conference of AICDMB, Mysuru in 2020. My research interests
lies in Artificial Intelligence, Machine learning, Image/Video
Processing and Network Security.
Radhika K R :
is a professor in B.M.S College of Engineering. She
has an experience of 23 years in teaching a wide area of subjects
in Information Science Department at BMSCE. She has 40+
publications in various reputed journal. She is a senior member of
IEEE. Her area of interests is network security, data mining, cloud
security and Biometrics.
Distributed Denial of Service, Detection, Prevention, SDN, Application Layer
In this paper, initially we discuss about the DDoS attack
and its effects. Then we have explored the famous DDoS
attacks that has taken place till date. At this point we
outline various types and strategies used by the attacker to
create application layer and SDN based DDoS attack. In
addition, we make an extensive survey on DDoS detection
using various methods in application layer and software
defined networking environment. We summaries all the
algorithms in a single table with parameters used to detect,
DDoS detection level and performance metrics used by
those algorithms. At last, we investigate the real time
problems created by attacker and try to prevent those
problems with proposed architecture. The proposed
architecture will avoid flow table overloading approach by
flow table sharing method in SDN. In application layer, we
detect the packet is genuine or not. If it is malicious and
from attacker, then we will terminate those packets. These
approaches will help us to resist the attacks.
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