Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 12, Issue 2


Published
on

April 5, 2021


Pages

536-542


DOI

Article

Novel Approach to detect Anomalies using Defensive Algorithm in SDN flows


Authors

Sugandhi Midha Affiliation:
Chandigarh University, Mohali
, Khushbu Tripathi Affiliation:
AMITY University, Gurgaon
and M.k. Sharma Affiliation:
Amrapali Group of Institutes, Uttrakhand


Abstract

The exponential growth of network users has to lead to poor management of networks that use the traditional networking approach. Traditional networking approaches have become an overhead in terms of flexibility, innovations, complexity, and programmability among the network. SDN guarantees a holistic approach to network flexibility and programmability. Network visibility in SDN gives scope for rapid innovation. SDN being a new paradigm, less work has been done towards security. Security is one of the biggest concerns in SDN. Separation of control and data plane in SDN has to lead to the emergence of Denial of Service (DoS) attack. The centralized controller in SDN makes it the best target for attackers and acts as a single point of failure. Attacks on the SDN controller can bring the entire network down. This paper presents an approach to monitor traffic and we propose a novel method to mitigate these anomalies and attacks in the network. We believe that the DoS attack can be toned down using this new technique.


Keywords

Software Defined Network (SDN), Security, Denial of Service (DoS), UDP flood, SYN flood, HTTP flood, ICMP flood


Citation

Midha, S., Tripathi, K., & Sharma, M. (2021). Novel approach to detect anomalies using defensive algorithm in SDN flows. Turkish Journal of Computer and Mathematics Education, 12(2), 536–542.

Published by: Engineering Journals

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